id
stringlengths 36
36
| db_id
stringclasses 6
values | question
stringlengths 28
117
| target_sql
stringlengths 35
507
| task_type
stringclasses 3
values | difficulty
stringclasses 3
values | template_type
stringclasses 21
values | format
stringclasses 2
values | num_turns
int64 2
6
| has_schema_exploration
bool 2
classes | has_error_recovery
bool 2
classes | messages
listlengths 5
13
| tools
listlengths 1
1
⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
f8f165b7-5063-4a5c-a922-257f7e849702
|
company_hr
|
Find employees with a salary above 119313.
|
SELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id WHERE T2.amount > 119313;
|
Querying
|
easy
|
simple_filter
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find employees with a salary above 119313.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id WHERE T2.amount > 119313;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount\n-------------------------------\nMichael | Silva | 135472.27\nChristine | Simmons | 120026.76\nPatrick | White | 138610.59\nMegan | Hunt | 243199.38\nKristi | House | 231946.16\nCharles | Johnson | 126716.3\nJames | Murphy | 212287.77\nLisa | Sutton | 187805.34\nJanice | Bolton | 195642.14\nWilliam | Juarez | 224717.5\nThomas | Black | 216081.68\nKatherine | Sharp | 206979.02\nLatoya | Edwards | 127090.47\nShannon | Hansen | 229039.32\nBarbara | Anderson | 127056.9\nMark | Johnson | 211508.47\nSandra | Hernandez | 212207.22\nMark | Soto | 165988.59\nJames | Myers | 241423.72\nJacob | Rodriguez | 248494.12\n... (76 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The database returned 76 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
f5425f9c-fc99-4dab-b738-43aab8233784
|
company_hr
|
Which projects have more than 3 team members?
|
SELECT T2.project_name, COUNT(T1.employee_id) AS member_count FROM ProjectMembers AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T2.project_id HAVING COUNT(T1.employee_id) > 3;
|
Analysis
|
medium
|
group_by_having
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which projects have more than 3 team members?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I need to aggregate and then filter the groups. I'll use COUNT to compute the value.",
"tool_calls": [
{
"id": "call_c897d2eb",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T2.project_name, COUNT(T1.employee_id) AS member_count FROM ProjectMembers AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T2.project_id HAVING COUNT(T1.employee_id) > 3;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "project_name | member_count\n---------------------------\nProject Song | 5\nProject Try | 4\nProject Provide | 6\nProject Pay | 6\nProject Soon | 5\nProject Society | 6\nProject Bill | 6\nProject Hospital | 4\nProject Gun | 5\nProject Far | 4\nProject Reason | 4\nProject Adult | 4\nProject East | 5",
"tool_calls": null,
"tool_call_id": "call_c897d2eb"
},
{
"role": "assistant",
"content": "The database returned the results I needed. I identified 13 matching entries, displayed above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
087561dd-e392-4a86-82bb-4ed5bab993c4
|
online_retail
|
Which products received a review rated 5+?
|
SELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);
|
Querying
|
medium
|
subquery_exists
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which products received a review rated 5+?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results.\nAction: execute_sql\n```sql\nSELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nproduct_name\n------------\nAdaptive well-modulated protocol\nCentralized client-server structure\nSynergistic exuding firmware\nDecentralized 24/7 approach\nMulti-layered systemic product\nCompatible 3rdgeneration architecture\nManaged bottom-line analyzer\nFully-configurable secondary frame\nFace-to-face object-oriented website\nEnhanced context-sensitive encoding\nDe-engineered global structure\nTotal object-oriented infrastructure\nOrganic upward-trending instruction set\nAutomated explicit adapter\nImplemented attitude-oriented leverage\nOrganic maximized firmware\nSynergized methodical orchestration\nPhased exuding artificial intelligence\nUniversal 5thgeneration middleware\nDown-sized didactic workforce\n... (27 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query found 27 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
c337f0df-b8c4-4446-8889-723590615214
|
hospital_management
|
Which doctors have more than 3 appointments?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 3;
|
Analysis
|
medium
|
group_by_having
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which doctors have more than 3 appointments?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Before writing any queries, I should explore what tables exist in this database.",
"tool_calls": [
{
"id": "call_951c2a4e",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": "call_951c2a4e"
},
{
"role": "assistant",
"content": "I need to aggregate and then filter the groups. I'll use COUNT to compute the value.",
"tool_calls": [
{
"id": "call_ee5312e7",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 3;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | apt_count\n----------------------------------\nJessica | Cannon | 5\nJoshua | Maxwell | 5\nJack | Farmer | 4\nJoseph | Bradley | 4\nJesse | Mcdaniel | 4\nHailey | Woods | 6\nMelissa | Henry | 7\nJulia | Mcneil | 4\nCarl | Ho | 7\nMichelle | Burns | 4\nBobby | Moss | 5\nLawrence | Carr | 5\nBrittney | Fox | 4\nKristin | Meyer | 5\nApril | Foster | 4\nAngela | Black | 4\nBrandon | Carter | 5\nKevin | Carey | 7\nRoberto | Austin | 5\nZachary | Thomas | 4\n... (33 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_ee5312e7"
},
{
"role": "assistant",
"content": "The query ran successfully. Let me summarize the findings. The query found 33 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
3c9b66c7-7b4c-4e8a-932f-76e341e7193d
|
hospital_management
|
Write a query using WITH to show doctors having the most appointments.
|
WITH busy_doctors AS (SELECT doctor_id, COUNT(*) AS appt_count FROM Appointments GROUP BY doctor_id HAVING COUNT(*) > 3) SELECT T2.first_name, T2.last_name, T2.specialization, T1.appt_count FROM busy_doctors AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id ORDER BY T1.appt_count DESC;
|
Analysis
|
hard
|
cte
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Write a query using WITH to show doctors having the most appointments.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Before writing any queries, I should explore what tables exist in this database.",
"tool_calls": [
{
"id": "call_c1787d98",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": "call_c1787d98"
},
{
"role": "assistant",
"content": "I'll use COUNT to compute the value. I need to aggregate and then filter the groups.",
"tool_calls": [
{
"id": "call_4463cc3b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"WITH busy_doctors AS (SELECT doctor_id, COUNT(*) AS appt_count FROM Appointments GROUP BY doctor_id HAVING COUNT(*) > 3) SELECT T2.first_name, T2.last_name, T2.specialization, T1.appt_count FROM busy_doctors AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id ORDER BY T1.appt_count DESC;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | specialization | appt_count\n----------------------------------------------------\nMelissa | Henry | Cardiologist | 7\nCarl | Ho | Cardiologist | 7\nKevin | Carey | Cardiologist | 7\nKyle | Mack | Neurologist | 7\nHailey | Woods | General Surgeon | 6\nJennifer | Martinez | Radiologist | 6\nBrianna | Alvarez | Cardiologist | 6\nJessica | Cannon | Orthopedic Surgeon | 5\nJoshua | Maxwell | Orthopedic Surgeon | 5\nBobby | Moss | Neurologist | 5\nLawrence | Carr | Oncologist | 5\nKristin | Meyer | Emergency Physician | 5\nBrandon | Carter | General Surgeon | 5\nRoberto | Austin | Cardiologist | 5\nShannon | Sharp | Orthopedic Surgeon | 5\nHarold | Garza | Cardiologist | 5\nHeather | Meadows | Radiologist | 5\nJames | Dean | General Surgeon | 5\nStephen | Foley | Cardiologist | 5\nAdam | Andrade | General Surgeon | 5\n... (33 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_4463cc3b"
},
{
"role": "assistant",
"content": "The query executed successfully and returned the results. There are 33 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
7a10823f-0e0b-4d01-ae60-021354bfb132
|
music_streaming
|
For each album, show tracks ranked by their duration.
|
SELECT T1.track_title, T2.album_title, T1.duration_sec, RANK() OVER (PARTITION BY T1.album_id ORDER BY T1.duration_sec DESC) AS duration_rank FROM Tracks AS T1 JOIN Albums AS T2 ON T1.album_id = T2.album_id;
|
Analysis
|
hard
|
window_function
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "For each album, show tracks ranked by their duration.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use a window function to compute rankings or running totals.\nAction: execute_sql\n```sql\nSELECT T1.track_title, T2.album_title, T1.duration_sec, RANK() OVER (PARTITION BY T1.album_id ORDER BY T1.duration_sec DESC) AS duration_rank FROM Tracks AS T1 JOIN Albums AS T2 ON T1.album_id = T2.album_id;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ntrack_title | album_title | duration_sec | duration_rank\n--------------------------------------------------------\nMaterial wrong instead | Realigned local website | 420 | 1\nSource central | Realigned local website | 370 | 2\nMake go nation | Realigned local website | 364 | 3\nNow take | Realigned local website | 342 | 4\nBody hair | Realigned local website | 304 | 5\nJoin between | Realigned local website | 257 | 6\nMention hundred cover | Realigned local website | 238 | 7\nFigure involve produce | Balanced clear-thinking orchestration | 368 | 1\nMain personal | Balanced clear-thinking orchestration | 282 | 2\nRadio media | Balanced clear-thinking orchestration | 245 | 3\nAdministration American | Balanced clear-thinking orchestration | 202 | 4\nComputer every parent | Balanced clear-thinking orchestration | 201 | 5\nRecord power | Balanced clear-thinking orchestration | 138 | 6\nContain civil | Diverse background open architecture | 402 | 1\nPlant police | Diverse background open architecture | 314 | 2\nPractice decide | Diverse background open architecture | 234 | 3\nNot real | Diverse background open architecture | 214 | 4\nBed administration | Diverse background open architecture | 127 | 5\nFeeling beat | Versatile 5thgeneration artificial intelligence | 397 | 1\nOutside society act social | Versatile 5thgeneration artificial intelligence | 292 | 2\n... (400 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The database returned 400 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
123f7ed4-68c8-4cd5-b47a-db71a8d1420a
|
city_library
|
Show loan details, replacing missing return dates with 'Not returned'.
|
SELECT loan_id, book_id, member_id, loan_date, due_date, COALESCE(CAST(return_date AS CHAR), 'Not returned') AS return_status FROM Loans;
|
Querying
|
easy
|
coalesce
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Show loan details, replacing missing return dates with 'Not returned'.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use COALESCE to substitute a fallback for NULLs.\nAction: execute_sql\n```sql\nSELECT loan_id, book_id, member_id, loan_date, due_date, COALESCE(CAST(return_date AS CHAR), 'Not returned') AS return_status FROM Loans;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nloan_id | book_id | member_id | loan_date | due_date | return_status\n--------------------------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11 | Not returned\n2 | 161 | 63 | 2025-12-18 | 2026-01-01 | 2026-01-05\n3 | 37 | 80 | 2025-04-30 | 2025-05-14 | Not returned\n4 | 135 | 34 | 2026-01-13 | 2026-01-27 | Not returned\n5 | 11 | 15 | 2025-10-27 | 2025-11-10 | Not returned\n6 | 142 | 1 | 2025-08-23 | 2025-09-06 | 2025-09-07\n7 | 88 | 39 | 2026-01-22 | 2026-02-05 | Not returned\n8 | 171 | 71 | 2025-07-12 | 2025-07-26 | 2025-07-29\n9 | 12 | 28 | 2025-04-22 | 2025-05-06 | Not returned\n10 | 96 | 79 | 2025-02-24 | 2025-03-10 | 2025-02-26\n11 | 27 | 86 | 2026-01-27 | 2026-02-10 | 2026-02-19\n12 | 156 | 7 | 2025-07-03 | 2025-07-17 | 2025-07-22\n13 | 17 | 38 | 2025-06-29 | 2025-07-13 | Not returned\n14 | 47 | 3 | 2025-08-16 | 2025-08-30 | 2025-08-31\n15 | 150 | 22 | 2025-07-11 | 2025-07-25 | 2025-07-31\n16 | 160 | 81 | 2025-07-31 | 2025-08-14 | 2025-08-20\n17 | 97 | 100 | 2025-06-04 | 2025-06-18 | 2025-07-01\n18 | 155 | 98 | 2025-10-29 | 2025-11-12 | 2025-11-22\n19 | 195 | 59 | 2025-05-27 | 2025-06-10 | Not returned\n20 | 134 | 38 | 2025-03-06 | 2025-03-20 | Not returned\n... (300 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The query found 300 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
7dd81b48-3664-4889-a808-93a99c936d2c
|
city_library
|
Find members whose last name starts with 'X'.
|
SELECT first_name, last_name, email FROM Members WHERE last_name LIKE 'X%';
|
Querying
|
easy
|
pattern_matching
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find members whose last name starts with 'X'.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use LIKE for the pattern match.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, email FROM Members WHERE last_name LIKE 'X%';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\n(No results returned)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query returned no results matching the specified criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
0f711ad5-4626-4235-9300-82393878e547
|
music_streaming
|
Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student).
|
SELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;
|
Analysis
|
medium
|
case_statement
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student).",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_5a8c8005",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": "call_5a8c8005"
},
{
"role": "assistant",
"content": "I'll use a subquery to narrow down the data. I'll use CASE to classify each row.",
"tool_calls": [
{
"id": "call_ed47a23e",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "username | subscription | tier\n------------------------------\ncassandramartinez1 | premium | Paid\ndalejohnson2 | student | Free\nhbrown3 | family | Paid\npmcgrath4 | student | Free\nlorraine795 | family | Paid\ndaisylopez6 | premium | Paid\ngeorgeharmon7 | free | Free\nscastillo8 | premium | Paid\nrrichardson9 | family | Paid\nmarshalllisa10 | student | Free\nstephen9611 | student | Free\naustin9712 | family | Paid\nsydney7713 | student | Free\nmichaelfoley14 | free | Free\nrachel8615 | family | Paid\ndianabell16 | family | Paid\nstephen2417 | premium | Paid\nsandra1718 | student | Free\nlobrien19 | premium | Paid\ndavid5920 | family | Paid\n... (100 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_ed47a23e"
},
{
"role": "assistant",
"content": "I got the results from the query. Now I can provide the answer. There are 100 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
e92e980d-e777-4db6-8560-ff6f7b07de59
|
company_hr
|
List positions that are currently held by at least one employee.
|
SELECT title FROM Positions WHERE position_id IN (SELECT DISTINCT position_id FROM Employees);
|
Querying
|
medium
|
subquery_in
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List positions that are currently held by at least one employee.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll use a subquery to narrow down the data.",
"tool_calls": [
{
"id": "call_05548ff3",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT title FROM Positions WHERE position_id IN (SELECT DISTINCT position_id FROM Employees);\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "title\n-----\nJunior Developer\nSenior Developer\nTeam Lead\nManager\nDirector\nAnalyst\nSenior Analyst\nVP",
"tool_calls": null,
"tool_call_id": "call_05548ff3"
},
{
"role": "assistant",
"content": "The results are in. I can now formulate my answer. Here are 8 records that match the criteria, shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
dc02bf3d-0ab9-4868-87e6-f3142f8438d2
|
city_library
|
What are the 9 most recently published books?
|
SELECT title, publish_year FROM Books ORDER BY publish_year DESC LIMIT 9;
|
Querying
|
easy
|
ordering_limit
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "What are the 9 most recently published books?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll sort and take the top results.",
"tool_calls": [
{
"id": "call_dfbf448b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT title, publish_year FROM Books ORDER BY publish_year DESC LIMIT 9;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "title | publish_year\n--------------------\nMulti-layered homogeneous matrix | 2024\nCloned global definition | 2024\nExclusive high-level secured line | 2024\nRealigned multi-tasking frame | 2024\nObject-based uniform throughput | 2023\nRe-contextualized high-level structure | 2023\nCompatible fresh-thinking time-frame | 2023\nVisionary zero administration architecture | 2023\nIntuitive motivating monitoring | 2022",
"tool_calls": null,
"tool_call_id": "call_dfbf448b"
},
{
"role": "assistant",
"content": "The database returned the results I needed. I found 9 matching records, listed above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
0f05f8d4-a6c3-44d8-9628-bce8cd33800e
|
university_academic
|
What are the top 3 courses with the most credits?
|
SELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 3;
|
Querying
|
easy
|
ordering_limit
|
react
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "What are the top 3 courses with the most credits?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should check the structure of the `Courses` table to understand its columns and data types.\nAction: execute_sql\n```sql\nDESCRIBE Courses;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ncourse_id | int | NO | PRI | NULL | \ncourse_code | varchar(20) | NO | UNI | NULL | \ncourse_title | varchar(255) | NO | | NULL | \ncredits | int | YES | | NULL | \ndepartment_id | int | YES | MUL | NULL | ",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The answer should be in the `Courses` table. I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 3;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ncourse_title | credits\n----------------------\nGrow Killer E-Business | 4\nEnvisioneer Holistic Solutions | 4\nIterate Granular Functionalities | 4",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query returned 3 results, displayed in the output above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
fa4e6fa2-4b14-4ea5-932e-de5807e1d7fe
|
online_retail
|
Categorize orders by status: active (pending/shipped) vs completed vs cancelled.
|
SELECT order_id, total_amount, CASE WHEN status IN ('pending','shipped') THEN 'Active' WHEN status = 'delivered' THEN 'Completed' ELSE 'Cancelled' END AS order_category FROM Orders;
|
Analysis
|
medium
|
case_statement
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Categorize orders by status: active (pending/shipped) vs completed vs cancelled.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results. I'll use CASE to classify each row.\nAction: execute_sql\n```sql\nSELECT order_id, total_amount, CASE WHEN status IN ('pending','shipped') THEN 'Active' WHEN status = 'delivered' THEN 'Completed' ELSE 'Cancelled' END AS order_category FROM Orders;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\norder_id | total_amount | order_category\n----------------------------------------\n1 | 252.27 | Active\n2 | 623.57 | Completed\n3 | 58.43 | Active\n4 | 656.74 | Active\n5 | 855.29 | Active\n6 | 337.8 | Completed\n7 | 117.8 | Active\n8 | 675.37 | Active\n9 | 966.63 | Active\n10 | 932.17 | Completed\n11 | 329.59 | Completed\n12 | 760.86 | Active\n13 | 299.9 | Active\n14 | 697.67 | Active\n15 | 531.78 | Completed\n16 | 698.87 | Active\n17 | 118.21 | Active\n18 | 488.83 | Active\n19 | 432.78 | Completed\n20 | 530.14 | Completed\n... (200 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: There are 200 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
2600a4ba-6691-4539-b411-afbfbc264542
|
company_hr
|
List positions that are currently held by at least one employee.
|
SELECT title FROM Positions WHERE position_id IN (SELECT DISTINCT position_id FROM Employees);
|
Querying
|
medium
|
subquery_in
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List positions that are currently held by at least one employee.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_4c6203af",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries",
"tool_calls": null,
"tool_call_id": "call_4c6203af"
},
{
"role": "assistant",
"content": "I'll use a subquery to narrow down the data.",
"tool_calls": [
{
"id": "call_21d0044b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT title FROM Positions WHERE position_id IN (SELECT DISTINCT position_id FROM Employees);\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "title\n-----\nJunior Developer\nSenior Developer\nTeam Lead\nManager\nDirector\nAnalyst\nSenior Analyst\nVP",
"tool_calls": null,
"tool_call_id": "call_21d0044b"
},
{
"role": "assistant",
"content": "The query completed and I have the data needed to answer the question. The query returned 8 results — see the list above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
f0a95df0-bf76-45cb-8532-225f4e952287
|
hospital_management
|
Categorize rooms as 'Critical Care' (ICU/Emergency), 'Surgical' (Operating), or 'General' (others).
|
SELECT room_number, room_type, CASE WHEN room_type IN ('ICU','Emergency') THEN 'Critical Care' WHEN room_type = 'Operating' THEN 'Surgical' ELSE 'General' END AS room_category FROM Rooms;
|
Analysis
|
medium
|
case_statement
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Categorize rooms as 'Critical Care' (ICU/Emergency), 'Surgical' (Operating), or 'General' (others).",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use a subquery to narrow down the data. I'll use CASE to classify each row.\nAction: execute_sql\n```sql\nSELECT room_number, room_type, CASE WHEN room_type IN ('ICU','Emergency') THEN 'Critical Care' WHEN room_type = 'Operating' THEN 'Surgical' ELSE 'General' END AS room_category FROM Rooms;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nroom_number | room_type | room_category\n---------------------------------------\n134 | Emergency | Critical Care\n364 | Emergency | Critical Care\n116 | Single | General\n436 | Single | General\n324 | ICU | Critical Care\n533 | Double | General\n103 | Emergency | Critical Care\n374 | ICU | Critical Care\n597 | Single | General\n239 | Emergency | Critical Care\n204 | Operating | Surgical\n205 | Double | General\n492 | Double | General\n573 | ICU | Critical Care\n475 | Operating | Surgical\n238 | Double | General\n463 | ICU | Critical Care\n215 | Emergency | Critical Care\n486 | Emergency | Critical Care\n458 | ICU | Critical Care\n... (60 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: There are 60 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
dfde4526-fcf8-46b5-ac06-47ccb0bdb858
|
music_streaming
|
List all albums by Classical artists.
|
SELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Classical';
|
Querying
|
easy
|
join_basic
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List all albums by Classical artists.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_b93fb911",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": "call_b93fb911"
},
{
"role": "assistant",
"content": "Let me write the query to answer this question.",
"tool_calls": [
{
"id": "call_755d345e",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Classical';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "album_title | artist_name\n-------------------------\nDown-sized interactive protocol | Jeanne Rose\nCross-group fault-tolerant installation | Jeanne Rose\nEnhanced asynchronous hierarchy | Jeanne Rose\nProfound heuristic application | Jennifer Anderson\nSelf-enabling non-volatile infrastructure | John Watts\nTriple-buffered dedicated budgetary management | Jeanne Rose",
"tool_calls": null,
"tool_call_id": "call_755d345e"
},
{
"role": "assistant",
"content": "The SQL query returned the expected output. Here's the answer. Here are 6 records that match the criteria, shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
a9b35217-73b5-4a2a-865d-802d4388a944
|
hospital_management
|
Which doctors have more than 2 appointments?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 2;
|
Analysis
|
medium
|
group_by_having
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which doctors have more than 2 appointments?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "First, I'll look at the database structure to identify the relevant tables.",
"tool_calls": [
{
"id": "call_80d20ee4",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": "call_80d20ee4"
},
{
"role": "assistant",
"content": "A GROUP BY with HAVING filter will give the right answer. I'll use COUNT to compute the value.",
"tool_calls": [
{
"id": "call_971a6099",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 2;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | apt_count\n----------------------------------\nJessica | Cannon | 5\nRobert | Jenkins | 3\nSarah | Shannon | 3\nJoshua | Maxwell | 5\nJack | Farmer | 4\nJoseph | Bradley | 4\nJesse | Mcdaniel | 4\nHailey | Woods | 6\nCassandra | Joseph | 3\nMelissa | Henry | 7\nJames | Johnson | 3\nAlexis | Nelson | 3\nJulia | Mcneil | 4\nCarl | Ho | 7\nMichelle | Burns | 4\nBobby | Moss | 5\nLawrence | Carr | 5\nBrittney | Fox | 4\nKristin | Meyer | 5\nApril | Foster | 4\n... (41 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_971a6099"
},
{
"role": "assistant",
"content": "The results are in. I can now formulate my answer. There are 41 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
24161afd-9698-4d79-b6ed-dc22a411b88b
|
online_retail
|
Which customers have placed more than 4 orders?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.order_id) AS order_count FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(T1.order_id) > 4;
|
Analysis
|
medium
|
group_by_having
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which customers have placed more than 4 orders?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_92c12f7a",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": "call_92c12f7a"
},
{
"role": "assistant",
"content": "A GROUP BY with HAVING filter will give the right answer. A COUNT function will give the answer.",
"tool_calls": [
{
"id": "call_a614d4ca",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T2.first_name, T2.last_name, COUNT(T1.order_id) AS order_count FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(T1.order_id) > 4;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | order_count\n------------------------------------\nErica | Adams | 6\nErica | Holloway | 5\nJade | Phillips | 5",
"tool_calls": null,
"tool_call_id": "call_a614d4ca"
},
{
"role": "assistant",
"content": "I've successfully retrieved the data. Let me present the answer. The query found 3 results — the details are above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
9811845f-800b-4aad-9f6c-e7d1905940d8
|
city_library
|
List all books in the 'Biography' genre.
|
SELECT T1.title, T1.publish_year FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Biography';
|
Querying
|
easy
|
join_basic
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List all books in the 'Biography' genre.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT T1.title, T1.publish_year FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Biography';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ntitle | publish_year\n--------------------\nManaged well-modulated Local Area Network | 1951\nAssimilated regional definition | 2000\nPersistent logistical encryption | 1971\nAutomated systemic service-desk | 2002\nPublic-key transitional algorithm | 1982\nDigitized multi-state forecast | 1954\nAssimilated didactic paradigm | 1980\nAdvanced empowering hierarchy | 2009\nIntegrated demand-driven definition | 1963\nFully-configurable eco-centric website | 2004\nPublic-key zero tolerance application | 1950\nExclusive mission-critical budgetary management | 2017\nHorizontal secondary framework | 1974\nOptional systematic framework | 1969\nRe-contextualized hybrid task-force | 1958\nInverse object-oriented moratorium | 2016\nVirtual stable firmware | 1999",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: Here are 17 records that match the criteria, shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
ffd72a51-6cb1-4fb5-ad68-6c5adde34f10
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List loans that have not been returned yet.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "First, I'll look at the database structure to identify the relevant tables.",
"tool_calls": [
{
"id": "call_35c53bbd",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": "call_35c53bbd"
},
{
"role": "assistant",
"content": "I'll filter rows where the value is NULL.",
"tool_calls": [
{
"id": "call_82a785e0",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "loan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_82a785e0"
},
{
"role": "assistant",
"content": "The query executed successfully and returned the results. The query found 104 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
7bcc4609-b4ce-494e-b452-fa19e9da964a
|
university_academic
|
Change the major of student ID 163 to department 2.
|
UPDATE Students SET major_department_id = 2 WHERE student_id = 163;
|
Updating
|
easy
|
update
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Change the major of student ID 163 to department 2.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "This question involves the `Students` table. Let me modify the existing data.",
"tool_calls": [
{
"id": "call_f643d799",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"UPDATE Students SET major_department_id = 2 WHERE student_id = 163;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Query executed successfully. Rows affected: 1",
"tool_calls": null,
"tool_call_id": "call_f643d799"
},
{
"role": "assistant",
"content": "The operation was successful and the changes have been applied. Done — the database has been updated as requested.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
ad69992d-6b3c-4da6-9769-181bee62f500
|
university_academic
|
Combine and display names of all faculty and enrolled students.
|
SELECT first_name, last_name FROM Instructors UNION SELECT first_name, last_name FROM Students;
|
Querying
|
medium
|
union
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Combine and display names of all faculty and enrolled students.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll need to combine data from `Instructors` and `Students`. UNION will combine results from multiple queries.\nAction: execute_sql\n```sql\nSELECT first_name, last_name FROM Instructors UNION SELECT first_name, last_name FROM Students;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nAaron | Frost\nAdam | Kane\nAdam | Miller\nAdam | Wise\nAdrienne | Ellis\nAlan | Montoya\nAlexander | Herrera\nAlexandra | Donovan\nAlexandra | Hayes\nAlexandra | Moore\nAlexis | Tyler\nAllison | Rodriguez\nAlyssa | Chavez\nAlyssa | Coleman\nAlyssa | Sanders\nAmanda | Collins\nAmanda | Dudley\nAmanda | Hill\nAmanda | Knight\nAmanda | Reed\n... (499 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: There are 499 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
e9fc3111-9625-45a6-ad8b-30d679fb7181
|
city_library
|
List all loans, showing the return date or 'Not returned' if the book has not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date, COALESCE(CAST(return_date AS CHAR), 'Not returned') AS return_status FROM Loans;
|
Querying
|
easy
|
coalesce
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List all loans, showing the return date or 'Not returned' if the book has not been returned yet.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use COALESCE to substitute a fallback for NULLs.\nAction: execute_sql\n```sql\nSELECT loan_id, book_id, member_id, loan_date, due_date, COALESCE(CAST(return_date AS CHAR), 'Not returned') AS return_status FROM Loans;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nloan_id | book_id | member_id | loan_date | due_date | return_status\n--------------------------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11 | Not returned\n2 | 161 | 63 | 2025-12-18 | 2026-01-01 | 2026-01-05\n3 | 37 | 80 | 2025-04-30 | 2025-05-14 | Not returned\n4 | 135 | 34 | 2026-01-13 | 2026-01-27 | Not returned\n5 | 11 | 15 | 2025-10-27 | 2025-11-10 | Not returned\n6 | 142 | 1 | 2025-08-23 | 2025-09-06 | 2025-09-07\n7 | 88 | 39 | 2026-01-22 | 2026-02-05 | Not returned\n8 | 171 | 71 | 2025-07-12 | 2025-07-26 | 2025-07-29\n9 | 12 | 28 | 2025-04-22 | 2025-05-06 | Not returned\n10 | 96 | 79 | 2025-02-24 | 2025-03-10 | 2025-02-26\n11 | 27 | 86 | 2026-01-27 | 2026-02-10 | 2026-02-19\n12 | 156 | 7 | 2025-07-03 | 2025-07-17 | 2025-07-22\n13 | 17 | 38 | 2025-06-29 | 2025-07-13 | Not returned\n14 | 47 | 3 | 2025-08-16 | 2025-08-30 | 2025-08-31\n15 | 150 | 22 | 2025-07-11 | 2025-07-25 | 2025-07-31\n16 | 160 | 81 | 2025-07-31 | 2025-08-14 | 2025-08-20\n17 | 97 | 100 | 2025-06-04 | 2025-06-18 | 2025-07-01\n18 | 155 | 98 | 2025-10-29 | 2025-11-12 | 2025-11-22\n19 | 195 | 59 | 2025-05-27 | 2025-06-10 | Not returned\n20 | 134 | 38 | 2025-03-06 | 2025-03-20 | Not returned\n... (300 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The database returned 300 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
abd114c3-acec-4721-934d-1f8e88355200
|
university_academic
|
Calculate the mean capacity of classrooms used during Fall 2024.
|
SELECT AVG(T3.capacity) AS avg_capacity FROM TeachingAssignments AS T1 JOIN Semesters AS T2 ON T1.semester_id = T2.semester_id JOIN Classrooms AS T3 ON T1.classroom_id = T3.classroom_id WHERE T2.term = 'Fall' AND T2.year = 2024;
|
Analysis
|
hard
|
multi_table_aggregation
|
react
| 5
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Calculate the mean capacity of classrooms used during Fall 2024.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me inspect the `Classrooms` table structure to plan my query.\nAction: execute_sql\n```sql\nDESCRIBE Classrooms;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nclassroom_id | int | NO | PRI | NULL | \nbuilding_name | varchar(255) | NO | MUL | NULL | \nroom_number | varchar(50) | NO | | NULL | \ncapacity | int | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Now I need to see what columns `Semesters` has and their types.\nAction: execute_sql\n```sql\nDESCRIBE Semesters;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nsemester_id | int | NO | PRI | NULL | \nterm | varchar(50) | NO | MUL | NULL | \nyear | int | NO | | NULL | \nstart_date | date | YES | | NULL | \nend_date | date | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll need to combine data from `Classrooms` and `Semesters` and `TeachingAssignments`. I'll need to chain several JOINs. A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T3.capacity) AS avg_capacity FROM TeachingAssignments AS T1 JOIN Semesters AS T2 ON T1.semester_id = T2.semester_id JOIN Classrooms AS T3 ON T1.classroom_id = T3.classroom_id WHERE T2.term = 'Fall' AND T2.year = 2024;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\navg_capacity\n------------\n77.5",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The mean comes out to 77.5.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
1c70f4cb-6e47-4164-8bd1-3b56fbe35f4e
|
music_streaming
|
How many tracks are there in total?
|
SELECT COUNT(track_id) FROM Tracks;
|
Analysis
|
easy
|
aggregation
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "How many tracks are there in total?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll use COUNT to compute the value.",
"tool_calls": [
{
"id": "call_1a2ebd8b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT COUNT(track_id) FROM Tracks;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "COUNT(track_id)\n---------------\n400",
"tool_calls": null,
"tool_call_id": "call_1a2ebd8b"
},
{
"role": "assistant",
"content": "The query completed and I have the data needed to answer the question. The count is 400.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
f3264f61-0b67-483e-84e7-eafe8e5c0501
|
hospital_management
|
List medications that have been prescribed at least once.
|
SELECT medication_name FROM Medications WHERE medication_id IN (SELECT DISTINCT medication_id FROM Prescriptions);
|
Querying
|
medium
|
subquery_in
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List medications that have been prescribed at least once.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Before writing any queries, I should explore what tables exist in this database.",
"tool_calls": [
{
"id": "call_4b907cbf",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": "call_4b907cbf"
},
{
"role": "assistant",
"content": "A subquery will help filter the results.",
"tool_calls": [
{
"id": "call_22ea0edb",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT medication_name FROM Medications WHERE medication_id IN (SELECT DISTINCT medication_id FROM Prescriptions);\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "medication_name\n---------------\nAspirin\nAmoxicillin\nLisinopril\nMetformin\nAtorvastatin\nIbuprofen\nOmeprazole\nAmlodipine\nGabapentin\nLosartan\nPrednisone\nCiprofloxacin",
"tool_calls": null,
"tool_call_id": "call_22ea0edb"
},
{
"role": "assistant",
"content": "The database returned the results I needed. The query returned 12 results — see the list above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
242e56ad-5e7a-45d2-9c50-8d81b1ac59c6
|
city_library
|
Find the titles of books written by British authors.
|
SELECT DISTINCT T1.title FROM Books AS T1 JOIN BookAuthors AS T2 ON T1.book_id = T2.book_id JOIN Authors AS T3 ON T2.author_id = T3.author_id WHERE T3.nationality = 'British';
|
Analysis
|
medium
|
complex_join
|
function_calling
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find the titles of books written by British authors.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "First, I'll look at the database structure to identify the relevant tables.",
"tool_calls": [
{
"id": "call_55c4824c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": "call_55c4824c"
},
{
"role": "assistant",
"content": "Now I have enough information to write the SQL query.",
"tool_calls": [
{
"id": "call_394b67cc",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT DISTINCT T3.title FROM Books AS T1 JOIN BookAuthors AS T2 ON T1.book_id = T2.book_id JOIN Authors AS T3 ON T2.author_id = T3.author_id WHERE T3.nationality = 'British';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "ERROR: no such column: T3.title",
"tool_calls": null,
"tool_call_id": "call_394b67cc"
},
{
"role": "assistant",
"content": "The error says the column doesn't exist. Let me check the DESCRIBE output and use the correct column name.",
"tool_calls": [
{
"id": "call_057e54fd",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT DISTINCT T1.title FROM Books AS T1 JOIN BookAuthors AS T2 ON T1.book_id = T2.book_id JOIN Authors AS T3 ON T2.author_id = T3.author_id WHERE T3.nationality = 'British';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "title\n-----\nCross-platform human-resource paradigm\nFully-configurable maximized success\nOperative empowering structure\nDown-sized high-level installation\nFundamental global frame\nDistributed value-added workforce\nRobust explicit info-mediaries\nStand-alone composite moderator\nDistributed even-keeled portal\nAutomated impactful product\nUser-centric contextually-based solution\nReverse-engineered didactic policy\nFundamental national encryption\nExtended fault-tolerant middleware\nTriple-buffered mobile encryption",
"tool_calls": null,
"tool_call_id": "call_057e54fd"
},
{
"role": "assistant",
"content": "The database returned the results I needed. I found 15 matching records, listed in the output above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
f1dd4322-f951-4ae6-9f75-b82f9ec8dd85
|
music_streaming
|
Find the track titles in playlists created by 'premium' subscribers.
|
SELECT DISTINCT T4.track_title FROM Users AS T1 JOIN Playlists AS T2 ON T1.user_id = T2.user_id JOIN PlaylistTracks AS T3 ON T2.playlist_id = T3.playlist_id JOIN Tracks AS T4 ON T3.track_id = T4.track_id WHERE T1.subscription = 'premium';
|
Analysis
|
medium
|
complex_join
|
react
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find the track titles in playlists created by 'premium' subscribers.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Now I have enough information to write the SQL query.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.track_title FROM Users AS T1 JOIN Playlists AS T2 ON T1.user_id = T2.user_id JOIN PlaylistTracks AS T3 ON T2.playlist_id = T3.playlist_id JOIN Tracks AS T4 ON T3.track_id = T4.track_id WERE T1.subscription = 'premium';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nERROR: near \"WERE\": syntax error",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I made a typo in the SQL syntax. Let me rewrite the query correctly.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.track_title FROM Users AS T1 JOIN Playlists AS T2 ON T1.user_id = T2.user_id JOIN PlaylistTracks AS T3 ON T2.playlist_id = T3.playlist_id JOIN Tracks AS T4 ON T3.track_id = T4.track_id WHERE T1.subscription = 'premium';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ntrack_title\n-----------\nPm\nScientist wind grow\nGround past\nArea he\nMaybe meet apply\nDetail apply\nSingle friend dream clear\nStructure moment\nOffice government\nFather movement\nWorry without\nCause service\nRisk southern\nBillion seek perhaps\nNecessary boy task\nCould cut\nGo soldier\nWrite treatment expect\nCover ahead\nLive figure trade draw\n... (60 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: There are 60 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
5f5d36a2-c2be-4bab-a883-cb87b17bfe48
|
university_academic
|
Find all classrooms in 'Science Hall' that have a capacity greater than 121.
|
SELECT room_number, capacity FROM Classrooms WHERE building_name = 'Science Hall' AND capacity > 121;
|
Querying
|
easy
|
simple_filter
|
function_calling
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find all classrooms in 'Science Hall' that have a capacity greater than 121.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll begin by listing the tables to understand what data is available.",
"tool_calls": [
{
"id": "call_23ac446c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": "call_23ac446c"
},
{
"role": "assistant",
"content": "To use `Classrooms` correctly, I'll first check its column structure.",
"tool_calls": [
{
"id": "call_0ab36076",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DESCRIBE Classrooms;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Field | Type | Null | Key | Default | Extra\n-------------------------------------------\nclassroom_id | int | NO | PRI | NULL | \nbuilding_name | varchar(255) | NO | MUL | NULL | \nroom_number | varchar(50) | NO | | NULL | \ncapacity | int | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": "call_0ab36076"
},
{
"role": "assistant",
"content": "I'll look at the `Classrooms` table for this information.",
"tool_calls": [
{
"id": "call_a1ee73b0",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT room_number, capacity FROM Classrooms WHERE building_name = 'Science Hall' AND capacity > 121;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "room_number | capacity\n----------------------\n102 | 150",
"tool_calls": null,
"tool_call_id": "call_a1ee73b0"
},
{
"role": "assistant",
"content": "The query ran successfully. Let me summarize the findings. I found exactly one match. The result is displayed above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
6f756cd5-8c2d-4aae-8a05-2f7a32dc95f8
|
online_retail
|
Find products that have at least one review with a rating of 5 or higher.
|
SELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);
|
Querying
|
medium
|
subquery_exists
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find products that have at least one review with a rating of 5 or higher.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "First, I'll look at the database structure to identify the relevant tables.",
"tool_calls": [
{
"id": "call_eec92f33",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": "call_eec92f33"
},
{
"role": "assistant",
"content": "I'll use a subquery to narrow down the data.",
"tool_calls": [
{
"id": "call_74ad79ac",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "product_name\n------------\nAdaptive well-modulated protocol\nCentralized client-server structure\nSynergistic exuding firmware\nDecentralized 24/7 approach\nMulti-layered systemic product\nCompatible 3rdgeneration architecture\nManaged bottom-line analyzer\nFully-configurable secondary frame\nFace-to-face object-oriented website\nEnhanced context-sensitive encoding\nDe-engineered global structure\nTotal object-oriented infrastructure\nOrganic upward-trending instruction set\nAutomated explicit adapter\nImplemented attitude-oriented leverage\nOrganic maximized firmware\nSynergized methodical orchestration\nPhased exuding artificial intelligence\nUniversal 5thgeneration middleware\nDown-sized didactic workforce\n... (27 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_74ad79ac"
},
{
"role": "assistant",
"content": "The SQL query returned the expected output. Here's the answer. The database returned 27 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
245fcd40-f113-4a43-9369-a793b5a849a2
|
music_streaming
|
Find all artists in the 'R&B' genre.
|
SELECT artist_name, country FROM Artists WHERE genre = 'R&B';
|
Querying
|
easy
|
simple_filter
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find all artists in the 'R&B' genre.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT artist_name, country FROM Artists WHERE genre = 'R&B';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\n(No results returned)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: No matching records were found in the database.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
40a05c5d-c2b0-496d-9c33-83204b664186
|
music_streaming
|
Find the track titles in playlists created by 'student' subscribers.
|
SELECT DISTINCT T4.track_title FROM Users AS T1 JOIN Playlists AS T2 ON T1.user_id = T2.user_id JOIN PlaylistTracks AS T3 ON T2.playlist_id = T3.playlist_id JOIN Tracks AS T4 ON T3.track_id = T4.track_id WHERE T1.subscription = 'student';
|
Analysis
|
medium
|
complex_join
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find the track titles in playlists created by 'student' subscribers.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.track_title FROM Users AS T1 JOIN Playlists AS T2 ON T1.user_id = T2.user_id JOIN PlaylistTracks AS T3 ON T2.playlist_id = T3.playlist_id JOIN Tracks AS T4 ON T3.track_id = T4.track_id WHERE T1.subscription = 'student';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ntrack_title\n-----------\nContain civil\nEat question hit\nBring\nInvestment control early\nPhysical point\nNone\nShoulder claim\nStaff Mr above\nFigure involve produce\nCould cut\nCover ahead\nOffice government\nAct condition\nAvoid national\nSubject million scientist\nSing chair\nLeast approach area\nNot real\nCause service\nCrime board back\n... (58 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query found 58 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
a2f1baab-fd48-4f7a-bae5-193dccff2dfd
|
city_library
|
How many books are in the 'Science Fiction' genre?
|
SELECT COUNT(T1.book_id) FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Science Fiction';
|
Analysis
|
easy
|
aggregation
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "How many books are in the 'Science Fiction' genre?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT COUNT(T1.book_id) FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Science Fiction';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nCOUNT(T1.book_id)\n-----------------\n25",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The total count is 25.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
195547c5-90a5-490f-a7ef-01040e36d565
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List loans that have not been returned yet.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll filter rows where the value is NULL.\nAction: execute_sql\n```sql\nSELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nloan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: The database returned 104 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
326a87a7-03ba-42ba-ae0f-c0a25dc6429e
|
online_retail
|
Update the price of product 46 to 296.43.
|
UPDATE Products SET price = 296.43 WHERE product_id = 46;
|
Updating
|
easy
|
update
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Update the price of product 46 to 296.43.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Products SET price = 296.43 WHERE product_id = 46;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The operation was successful and the changes have been applied.\nAnswer: Done — the database has been updated as requested.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
c10dbfee-11c8-4597-b410-fb4d124e338a
|
city_library
|
Rank books by the number of copies owned within each genre, from most to fewest.
|
SELECT T1.title, T2.genre_name, T1.copies_owned, RANK() OVER (PARTITION BY T1.genre_id ORDER BY T1.copies_owned DESC) AS copy_rank FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id;
|
Analysis
|
hard
|
window_function
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Rank books by the number of copies owned within each genre, from most to fewest.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I should examine the available tables to plan my query strategy.",
"tool_calls": [
{
"id": "call_4158c8d7",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": "call_4158c8d7"
},
{
"role": "assistant",
"content": "A window function with OVER will handle the per-group ranking.",
"tool_calls": [
{
"id": "call_664e4d8b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T1.title, T2.genre_name, T1.copies_owned, RANK() OVER (PARTITION BY T1.genre_id ORDER BY T1.copies_owned DESC) AS copy_rank FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "title | genre_name | copies_owned | copy_rank\n---------------------------------------------\nUniversal dedicated Graphic Interface | Fiction | 5 | 1\nReverse-engineered scalable pricing structure | Fiction | 5 | 1\nSwitchable human-resource solution | Fiction | 5 | 1\nStreamlined context-sensitive software | Fiction | 4 | 4\nSynergized real-time intranet | Fiction | 4 | 4\nStand-alone system-worthy archive | Fiction | 4 | 4\nAssimilated demand-driven orchestration | Fiction | 3 | 7\nNetworked asynchronous toolset | Fiction | 3 | 7\nAutomated well-modulated challenge | Fiction | 3 | 7\nReduced well-modulated paradigm | Fiction | 3 | 7\nPersevering tertiary matrix | Fiction | 2 | 11\nDevolved logistical throughput | Fiction | 2 | 11\nCross-group holistic adapter | Fiction | 1 | 13\nFully-configurable maximized success | Non-Fiction | 5 | 1\nFundamental bandwidth-monitored groupware | Non-Fiction | 5 | 1\nPhased modular complexity | Non-Fiction | 5 | 1\nSynergized exuding pricing structure | Non-Fiction | 5 | 1\nTriple-buffered mobile encryption | Non-Fiction | 5 | 1\nFundamental well-modulated paradigm | Non-Fiction | 4 | 6\nUser-friendly zero tolerance toolset | Non-Fiction | 4 | 6\n... (200 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_664e4d8b"
},
{
"role": "assistant",
"content": "I got the results from the query. Now I can provide the answer. There are 200 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
232c2082-2778-4169-bdff-3cf858831472
|
company_hr
|
Show the top 10 highest-paid employees.
|
SELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 10;
|
Querying
|
easy
|
ordering_limit
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Show the top 10 highest-paid employees.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 10;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount\n-------------------------------\nJames | Walters | 248685.31\nJacob | Rodriguez | 248494.12\nDavid | Harris | 245244.68\nAdam | Kane | 244942.33\nDamon | Tran | 244432.97\nMegan | Hunt | 243199.38\nJesse | Jensen | 241435.61\nJames | Myers | 241423.72\nJoshua | Fuller | 239227.06\nMaria | Jackson | 236344.94",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: Here are 10 records that match the criteria, shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
bc4b9392-b198-4e6f-899a-7ad61d9d2dc3
|
hospital_management
|
Find patients who have at least one prescription.
|
SELECT T1.first_name, T1.last_name FROM Patients AS T1 WHERE EXISTS (SELECT 1 FROM Appointments AS T2 JOIN Prescriptions AS T3 ON T2.appointment_id = T3.appointment_id WHERE T1.patient_id = T2.patient_id);
|
Querying
|
medium
|
subquery_exists
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find patients who have at least one prescription.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name FROM Patients AS T1 WHERE EXISTS (SELECT 1 FROM Appointments AS T2 JOIN Prescriptions AS T3 ON T2.appointment_id = T3.appointment_id WHERE T1.patient_id = T2.patient_id);\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nElizabeth | Massey\nKara | Ward\nHeather | Salazar\nRonald | White\nBrittany | Allen\nLisa | Clay\nJamie | Rich\nSuzanne | Miller\nAmanda | Smith\nBryan | Kennedy\nMichaela | Smith\nTracey | Coffey\nRaymond | Turner\nKendra | Curry\nConnor | Garcia\nJonathan | Norman\nElizabeth | Adams\nPatrick | Norris\nJill | Taylor\nKylie | Chen\n... (68 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: There are 68 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
f90539ad-715c-4459-bd2b-f925e0a8fc11
|
city_library
|
Change member 80's membership type to 'senior'.
|
UPDATE Members SET membership_type = 'senior' WHERE member_id = 80;
|
Updating
|
easy
|
update
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Change member 80's membership type to 'senior'.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Members SET membership_type = 'senior' WHERE member_id = 80;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: Done — the database has been updated as requested.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
449391f9-19dc-4aad-88a1-88dc1ea1e9e4
|
city_library
|
Which authors have written more than 2 books?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 2;
|
Analysis
|
medium
|
group_by_having
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which authors have written more than 2 books?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I need to first understand the database schema. Let me list all available tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I need to aggregate and then filter the groups. A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 2;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | book_count\n-----------------------------------\nStephanie | Scott | 5\nDenise | Andrade | 9\nMary | Hamilton | 5\nDarren | Lee | 7\nJose | Turner | 3\nWillie | Dickerson | 3\nJohn | Lindsey | 6\nNicholas | Kennedy | 6\nKathleen | Kim | 6\nJulie | Osborne | 8\nJoshua | Powers | 7\nCassandra | Browning | 5\nErika | Nelson | 3\nRichard | Smith | 5\nRobert | Anderson | 3\nJoseph | George | 7\nTheresa | Flores | 4\nJeffrey | Smith | 9\nMark | Brown | 6\nKeith | Joseph | 3\n... (47 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The query found 47 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
42150afa-7655-4a7c-b30f-b50910212f01
|
hospital_management
|
List appointments that have no diagnosis recorded.
|
SELECT appointment_id, patient_id, doctor_id, appointment_date FROM Appointments WHERE diagnosis IS NULL;
|
Querying
|
easy
|
null_check
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List appointments that have no diagnosis recorded.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I need to check for NULL values.",
"tool_calls": [
{
"id": "call_daa0400c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT appointment_id, patient_id, doctor_id, appointment_date FROM Appointments WHERE diagnosis IS NULL;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "appointment_id | patient_id | doctor_id | appointment_date\n----------------------------------------------------------\n8 | 106 | 20 | 2025-11-22\n10 | 65 | 7 | 2025-03-07\n15 | 60 | 2 | 2025-06-16\n33 | 78 | 19 | 2025-05-28\n53 | 38 | 17 | 2025-03-02\n56 | 102 | 46 | 2025-05-13\n60 | 28 | 41 | 2025-11-20\n75 | 2 | 43 | 2026-02-06\n88 | 125 | 26 | 2025-03-08\n90 | 99 | 19 | 2025-02-16\n91 | 37 | 34 | 2025-11-03\n100 | 86 | 15 | 2025-08-01\n104 | 88 | 48 | 2025-06-09\n106 | 81 | 25 | 2025-03-18\n107 | 80 | 4 | 2025-05-05\n109 | 33 | 34 | 2025-02-26\n128 | 3 | 24 | 2025-09-24\n134 | 126 | 20 | 2025-03-14\n139 | 6 | 38 | 2025-02-10\n146 | 17 | 34 | 2025-11-20\n... (23 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_daa0400c"
},
{
"role": "assistant",
"content": "I got the results from the query. Now I can provide the answer. The database returned 23 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
d53d8fbd-9a2e-4d27-95a0-3089e04b0d48
|
city_library
|
Find books published after 2008.
|
SELECT title, publish_year FROM Books WHERE publish_year > 2008;
|
Querying
|
easy
|
simple_filter
|
react
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find books published after 2008.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Based on the schema, I'll construct a query to answer the question.\nAction: execute_sql\n```sql\nSELECT title, publish_year FROM Books WERE publish_year > 2008;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nERROR: near \"publish_year\": syntax error",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT title, publish_year FROM Books WHERE publish_year > 2008;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\ntitle | publish_year\n--------------------\nIntuitive motivating monitoring | 2022\nOpen-source content-based productivity | 2011\nRe-engineered upward-trending installation | 2013\nFully-configurable composite open system | 2021\nStreamlined human-resource neural-net | 2015\nObject-based uniform throughput | 2023\nAutomated well-modulated challenge | 2013\nAssimilated directional hub | 2010\nRe-contextualized high-level structure | 2023\nDistributed value-added workforce | 2020\nTeam-oriented clear-thinking circuit | 2015\nAdvanced empowering hierarchy | 2009\nUp-sized multimedia synergy | 2012\nProgrammable impactful matrices | 2016\nMulti-layered homogeneous matrix | 2024\nPolarized context-sensitive matrices | 2018\nMulti-tiered 24/7 secured line | 2020\nCloned global definition | 2024\nMulti-channeled modular knowledgebase | 2020\nExclusive high-level secured line | 2024\n... (41 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The database returned 41 records matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
ad5557b7-267f-4bc2-9a45-03b9dd8b7beb
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List loans that have not been returned yet.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I should examine the available tables to plan my query strategy.",
"tool_calls": [
{
"id": "call_862fcab6",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": "call_862fcab6"
},
{
"role": "assistant",
"content": "I need to check for NULL values.",
"tool_calls": [
{
"id": "call_21fdb11b",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "loan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_21fdb11b"
},
{
"role": "assistant",
"content": "The query completed and I have the data needed to answer the question. The query found 104 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
00e66a13-e7aa-4c4a-8cf9-9c55cada7adb
|
music_streaming
|
Remove all private playlists from the system.
|
DELETE FROM Playlists WHERE is_public = 0;
|
Updating
|
easy
|
delete
|
function_calling
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Remove all private playlists from the system.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_ec59ecb5",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": "call_ec59ecb5"
},
{
"role": "assistant",
"content": "Let me delete the specified rows.",
"tool_calls": [
{
"id": "call_76c21fa8",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DELETE FROM Playlists WHERE is_public = 0;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Query executed successfully. Rows affected: 30",
"tool_calls": null,
"tool_call_id": "call_76c21fa8"
},
{
"role": "assistant",
"content": "The operation was successful and the changes have been applied. The modification was successful.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
48af501c-b580-4bbe-ac14-9577bf3dbefd
|
company_hr
|
What is the total salary expenditure for the USA office?
|
SELECT SUM(T3.amount) AS total_salary FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id JOIN Offices AS T4 ON T2.office_id = T4.office_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id WHERE T4.country = 'USA';
|
Analysis
|
hard
|
multi_table_aggregation
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "What is the total salary expenditure for the USA office?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I need to query the `Departments` table to answer this. A SUM function will give the answer.",
"tool_calls": [
{
"id": "call_56ecdc40",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT SUM(T3.amount) AS total_salary FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id JOIN Offices AS T4 ON T2.office_id = T4.office_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id WHERE T4.country = 'USA';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "total_salary\n------------\n7551530.450000001",
"tool_calls": null,
"tool_call_id": "call_56ecdc40"
},
{
"role": "assistant",
"content": "The database returned the results I needed. The computed value is 7551530.450000001.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
3333c259-c0d0-4fcf-9cdf-f999165fa8fc
|
hospital_management
|
Show the 9 most recently hired doctors.
|
SELECT first_name, last_name, hire_date FROM Doctors ORDER BY hire_date DESC LIMIT 9;
|
Querying
|
easy
|
ordering_limit
|
function_calling
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Show the 9 most recently hired doctors.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "To approach this question, I first need to see the database schema.",
"tool_calls": [
{
"id": "call_0b98bb68",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": "call_0b98bb68"
},
{
"role": "assistant",
"content": "Let me write the query based on what I've learned about the schema.",
"tool_calls": [
{
"id": "call_7e994433",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT first_name, last_name, hire_date FORM Doctors ORDER BY hire_date DESC LIMIT 9;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "ERROR: near \"Doctors\": syntax error",
"tool_calls": null,
"tool_call_id": "call_7e994433"
},
{
"role": "assistant",
"content": "There's a syntax error in the query. Let me fix the SQL statement.",
"tool_calls": [
{
"id": "call_412c1682",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT first_name, last_name, hire_date FROM Doctors ORDER BY hire_date DESC LIMIT 9;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | hire_date\n----------------------------------\nMargaret | Williams | 2025-01-16\nCarl | Ho | 2024-11-25\nSarah | Shannon | 2024-03-02\nJessica | Cannon | 2023-06-05\nBrittney | Fox | 2023-05-13\nDonna | Hernandez | 2023-04-08\nDenise | Johnson | 2023-01-21\nZachary | Thomas | 2022-09-21\nHeather | Meadows | 2022-04-03",
"tool_calls": null,
"tool_call_id": "call_412c1682"
},
{
"role": "assistant",
"content": "The results are in. I can now formulate my answer. The query returned 9 results — see the list above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
16d0bf32-4b23-4d52-b298-2e39970a7fe3
|
city_library
|
List the first and last names of all authors and members.
|
SELECT first_name, last_name FROM Authors UNION SELECT first_name, last_name FROM Members;
|
Querying
|
medium
|
union
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List the first and last names of all authors and members.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll merge the results using UNION.\nAction: execute_sql\n```sql\nSELECT first_name, last_name FROM Authors UNION SELECT first_name, last_name FROM Members;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nAlexander | Peterson\nAlicia | Chan\nAllen | Brandt\nAllen | James\nAlyssa | Williams\nAmber | Campbell\nAmber | Steele\nAndrew | Mcpherson\nAngela | Henry\nAngela | Rodriguez\nAnna | Reed\nAnthony | Dillon\nAnthony | Harris\nAnthony | Johnson\nAnthony | Weber\nAntonio | Phelps\nAshley | White\nBarbara | Gibson\nBenjamin | Anderson\nBeth | Black\n... (150 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The query found 150 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
ad408e42-506d-4acc-aa07-753269c09075
|
hospital_management
|
How many patients are there in the system?
|
SELECT COUNT(patient_id) FROM Patients;
|
Analysis
|
easy
|
aggregation
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "How many patients are there in the system?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "A COUNT function will give the answer.",
"tool_calls": [
{
"id": "call_57f54d8f",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT COUNT(patient_id) FROM Patients;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "COUNT(patient_id)\n-----------------\n150",
"tool_calls": null,
"tool_call_id": "call_57f54d8f"
},
{
"role": "assistant",
"content": "The SQL query returned the expected output. Here's the answer. There are 150 matching the criteria.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
ebe1bdf3-8f70-47a7-a005-bf5ae1c325fe
|
music_streaming
|
Find albums released after 2021-01-01.
|
SELECT album_title, release_date FROM Albums WHERE release_date > '2021-01-01';
|
Querying
|
easy
|
date_comparison
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find albums released after 2021-01-01.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I need to first understand the database schema. Let me list all available tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT album_title, release_date FROM Albums WHERE release_date > '2021-01-01';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nalbum_title | release_date\n--------------------------\nProfit-focused exuding hierarchy | 2025-09-14\nDown-sized interactive protocol | 2025-06-06\nImplemented stable monitoring | 2024-03-13\nFront-line 5thgeneration core | 2022-07-02\nOpen-architected logistical artificial intelligence | 2024-03-06\nSynergistic interactive solution | 2024-12-31\nDecentralized context-sensitive moderator | 2021-10-04\nNetworked contextually-based hardware | 2025-01-13\nSynergistic zero tolerance monitoring | 2022-03-24\nSharable holistic strategy | 2024-06-22\nSynergistic real-time instruction set | 2021-08-27\nProfit-focused executive focus group | 2022-01-27\nProgrammable transitional emulation | 2025-02-26\nCross-group scalable artificial intelligence | 2021-07-08\nSynergistic well-modulated moderator | 2025-05-25\nEnhanced asynchronous hierarchy | 2024-03-07\nProfound heuristic application | 2022-11-22\nMandatory systematic encryption | 2025-07-01\nVisionary bottom-line frame | 2022-09-27\nAutomated maximized process improvement | 2022-08-14\n... (22 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The query found 22 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
5f831b41-1b17-48b8-a592-c33824187854
|
company_hr
|
Hire a new employee: Shaun Farley, email shaun.farley.7960@company.com, department 2, position 2.
|
INSERT INTO Employees (first_name, last_name, email, department_id, position_id, hire_date) VALUES ('Shaun', 'Farley', 'shaun.farley.7960@company.com', 2, 2, '2025-07-26');
|
Updating
|
easy
|
insert
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Hire a new employee: Shaun Farley, email shaun.farley.7960@company.com, department 2, position 2.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me add this data to the database.",
"tool_calls": [
{
"id": "call_c1929b60",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"INSERT INTO Employees (first_name, last_name, email, department_id, position_id, hire_date) VALUES ('Shaun', 'Farley', 'shaun.farley.7960@company.com', 2, 2, '2025-07-26');\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Query executed successfully. Rows affected: 1",
"tool_calls": null,
"tool_call_id": "call_c1929b60"
},
{
"role": "assistant",
"content": "The operation was successful and the changes have been applied. The database operation was completed successfully.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
59b40089-ef35-45a5-b676-0ebee1b3921e
|
online_retail
|
List products purchased by customers located in Miami.
|
SELECT DISTINCT T4.product_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN OrderItems AS T3 ON T2.order_id = T3.order_id JOIN Products AS T4 ON T3.product_id = T4.product_id WHERE T1.city = 'Miami';
|
Analysis
|
medium
|
complex_join
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List products purchased by customers located in Miami.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.product_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN OrderItems AS T3 ON T2.order_id = T3.order_id JOIN Products AS T4 ON T3.product_id = T4.product_id WHERE T1.city = 'Miami';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nproduct_name\n------------\nDistributed client-server open system\nExtended fresh-thinking circuit\nFully-configurable secondary frame\nUser-centric tangible help-desk\nOpen-source modular implementation\nOptional dedicated product\nSharable system-worthy access\nPhased optimizing neural-net\nDiverse actuating attitude\nVisionary non-volatile alliance\nRe-engineered solution-oriented task-force\nDigitized bottom-line system engine\nReactive fresh-thinking focus group\nCustomer-focused asynchronous Graphical User Interface\nDecentralized systemic algorithm\nFace-to-face 4thgeneration workforce\nUpgradable needs-based firmware\nMulti-layered systemic product\nDe-engineered context-sensitive superstructure\nUser-centric upward-trending function\n... (49 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query found 49 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
e50a2585-eddf-40f9-8483-2410a6eea177
|
hospital_management
|
Which doctors have more than 3 appointments?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 3;
|
Analysis
|
medium
|
group_by_having
|
react
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Which doctors have more than 3 appointments?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me write the query based on what I've learned about the schema.\nAction: execute_sql\n```sql\nSELECT T2.firstname, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 3;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nERROR: no such column: T2.firstname",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: That column name isn't in the table. Let me fix it using the actual column names from the schema.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 3;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | apt_count\n----------------------------------\nJessica | Cannon | 5\nJoshua | Maxwell | 5\nJack | Farmer | 4\nJoseph | Bradley | 4\nJesse | Mcdaniel | 4\nHailey | Woods | 6\nMelissa | Henry | 7\nJulia | Mcneil | 4\nCarl | Ho | 7\nMichelle | Burns | 4\nBobby | Moss | 5\nLawrence | Carr | 5\nBrittney | Fox | 4\nKristin | Meyer | 5\nApril | Foster | 4\nAngela | Black | 4\nBrandon | Carter | 5\nKevin | Carey | 7\nRoberto | Austin | 5\nZachary | Thomas | 4\n... (33 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: There are 33 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
e4543093-da7e-4965-ac60-dbf5e32e8b98
|
music_streaming
|
List all albums by Folk artists.
|
SELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Folk';
|
Querying
|
easy
|
join_basic
|
function_calling
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List all albums by Folk artists.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll begin by listing the tables to understand what data is available.",
"tool_calls": [
{
"id": "call_58aa2508",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": "call_58aa2508"
},
{
"role": "assistant",
"content": "I'll attempt to answer the question with a SQL query.",
"tool_calls": [
{
"id": "call_def8338c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T3.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Folk';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "ERROR: no such column: T3.album_title",
"tool_calls": null,
"tool_call_id": "call_def8338c"
},
{
"role": "assistant",
"content": "The column reference was incorrect. I'll correct it based on the table definition.",
"tool_calls": [
{
"id": "call_67b1d3df",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Folk';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "album_title | artist_name\n-------------------------\nVersatile 5thgeneration artificial intelligence | Michael Mooney\nMulti-layered non-volatile protocol | Katrina Johnson\nDistributed foreground toolset | Michael Mooney\nOpen-source asymmetric groupware | Matthew Richardson\nFace-to-face even-keeled access | Justin Herrera\nBusiness-focused composite functionalities | Michael Mooney\nSynergistic zero tolerance monitoring | Katrina Johnson\nUser-centric encompassing application | Laura Hill\nSharable holistic strategy | Wendy Kelley\nProfit-focused executive focus group | Justin Herrera\nVisionary bottom-line frame | Laura Hill\nCentralized heuristic ability | Matthew Richardson\nVisionary stable extranet | Katrina Johnson",
"tool_calls": null,
"tool_call_id": "call_67b1d3df"
},
{
"role": "assistant",
"content": "The query executed successfully and returned the results. I found 13 matching records, listed in the output above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
bf3da5ab-1c1a-41dc-bb3d-7ecac8b1b0a2
|
university_academic
|
Delete all teaching assignments that have no classroom assigned.
|
DELETE FROM TeachingAssignments WHERE classroom_id IS NULL;
|
Updating
|
easy
|
delete
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Delete all teaching assignments that have no classroom assigned.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: This question involves the `TeachingAssignments` table. I need to check for NULL values. Let me delete the specified rows.\nAction: execute_sql\n```sql\nDELETE FROM TeachingAssignments WHERE classroom_id IS NULL;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 39",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The modification query completed successfully.\nAnswer: The operation has been executed and the changes are applied.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
59b8d4ee-4ad1-458d-914d-a68bd863dc41
|
university_academic
|
Count the number of courses in the 'Mathematics' department.
|
SELECT COUNT(T1.course_id) FROM Courses AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Mathematics';
|
Analysis
|
easy
|
aggregation
|
function_calling
| 6
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Count the number of courses in the 'Mathematics' department.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Let me explore the database tables before constructing my query.",
"tool_calls": [
{
"id": "call_7d0a977c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": "call_7d0a977c"
},
{
"role": "assistant",
"content": "I'll look at the `Departments` table schema to identify the relevant columns.",
"tool_calls": [
{
"id": "call_63b43893",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DESCRIBE Departments;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Field | Type | Null | Key | Default | Extra\n-------------------------------------------\ndepartment_id | int | NO | PRI | NULL | \ndepartment_name | varchar(255) | NO | UNI | NULL | \noffice_location | varchar(255) | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": "call_63b43893"
},
{
"role": "assistant",
"content": "To use `Courses` correctly, I'll first check its column structure.",
"tool_calls": [
{
"id": "call_e1972ec6",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DESCRIBE Courses;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Field | Type | Null | Key | Default | Extra\n-------------------------------------------\ncourse_id | int | NO | PRI | NULL | \ncourse_code | varchar(20) | NO | UNI | NULL | \ncourse_title | varchar(255) | NO | | NULL | \ncredits | int | YES | | NULL | \ndepartment_id | int | YES | MUL | NULL | ",
"tool_calls": null,
"tool_call_id": "call_e1972ec6"
},
{
"role": "assistant",
"content": "Based on the schema, I'll construct a query to answer the question.",
"tool_calls": [
{
"id": "call_a20892d5",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT COUNT(T1.course_id) FROM Courses AS T1 JOIN Departments AS T2 ON T1.dept_id = T2.department_id WHERE T2.department_name = 'Mathematics';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "ERROR: no such column: T1.dept_id",
"tool_calls": null,
"tool_call_id": "call_a20892d5"
},
{
"role": "assistant",
"content": "I used the wrong column name. Based on the table structure, the correct column is different.",
"tool_calls": [
{
"id": "call_80006f8c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT COUNT(T1.course_id) FROM Courses AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Mathematics';\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "COUNT(T1.course_id)\n-------------------\n11",
"tool_calls": null,
"tool_call_id": "call_80006f8c"
},
{
"role": "assistant",
"content": "The SQL query returned the expected output. Here's the answer. The count is 11.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
ea892710-50ce-40cf-a4f6-e190e6fdf4e7
|
online_retail
|
Calculate the mean price for 'Toys' products.
|
SELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Toys';
|
Analysis
|
easy
|
aggregation
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Calculate the mean price for 'Toys' products.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use AVG to compute the value.\nAction: execute_sql\n```sql\nSELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Toys';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\navg_price\n---------\n298.4765217391304",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The average is 298.4765217391304.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
5c420a24-6758-4a5a-807a-e375de00258f
|
hospital_management
|
Update appointment 170 status to 'completed'.
|
UPDATE Appointments SET status = 'completed' WHERE appointment_id = 170;
|
Updating
|
easy
|
update
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Update appointment 170 status to 'completed'.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I need to first understand the database schema. Let me list all available tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: Let me modify the existing data.\nAction: execute_sql\n```sql\nUPDATE Appointments SET status = 'completed' WHERE appointment_id = 170;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The modification query completed successfully.\nAnswer: The operation has been executed and the changes are applied.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
28d65e57-434c-4c00-b9ac-b7a10b1a2b2e
|
online_retail
|
Write a query using WITH to identify customers having more than 2 orders with their total spend.
|
WITH customer_summary AS (SELECT customer_id, COUNT(*) AS order_count, SUM(total_amount) AS total_spent FROM Orders GROUP BY customer_id HAVING COUNT(*) > 2) SELECT T2.first_name, T2.last_name, T1.order_count, T1.total_spent FROM customer_summary AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id ORDER BY T1.total_spent DESC;
|
Analysis
|
hard
|
cte
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Write a query using WITH to identify customers having more than 2 orders with their total spend.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll use COUNT to compute the value. A Common Table Expression (WITH clause) will make this cleaner.",
"tool_calls": [
{
"id": "call_92bd468a",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"WITH customer_summary AS (SELECT customer_id, COUNT(*) AS order_count, SUM(total_amount) AS total_spent FROM Orders GROUP BY customer_id HAVING COUNT(*) > 2) SELECT T2.first_name, T2.last_name, T1.order_count, T1.total_spent FROM customer_summary AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id ORDER BY T1.total_spent DESC;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "first_name | last_name | order_count | total_spent\n--------------------------------------------------\nErica | Adams | 6 | 3980.9300000000003\nChelsea | Evans | 4 | 2977.0\nDeborah | Robles | 4 | 2893.43\nJade | Phillips | 5 | 2677.81\nLeah | Greene | 3 | 2595.04\nStacy | Hull | 4 | 2546.95\nBenjamin | Roberts | 4 | 2523.08\nCarolyn | Smith | 3 | 2301.73\nVincent | Dillon | 4 | 2227.5699999999997\nMichael | King | 4 | 2095.79\nKatherine | Williams | 3 | 2077.95\nLeah | Gregory | 4 | 2006.85\nErik | Perry | 3 | 1948.95\nNancy | Scott | 3 | 1863.9499999999998\nDaniel | Gonzalez | 3 | 1831.2800000000002\nErica | Holloway | 5 | 1829.96\nGabrielle | Roberson | 3 | 1718.53\nJessica | Carlson | 3 | 1706.99\nNoah | Howard | 3 | 1678.33\nJennifer | Wilson | 4 | 1624.9700000000003\n... (33 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_92bd468a"
},
{
"role": "assistant",
"content": "I've successfully retrieved the data. Let me present the answer. There are 33 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
5721c4e5-cfa8-40c3-be14-b92b3d9e2ddc
|
music_streaming
|
Find artists whose name starts with 'P'.
|
SELECT artist_name, genre, country FROM Artists WHERE artist_name LIKE 'P%';
|
Querying
|
easy
|
pattern_matching
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Find artists whose name starts with 'P'.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use LIKE for the pattern match.\nAction: execute_sql\n```sql\nSELECT artist_name, genre, country FROM Artists WHERE artist_name LIKE 'P%';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nartist_name | genre | country\n-----------------------------\nPaul Sheppard | Country | USA",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The result is USA.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
2839eb67-14a5-4828-8a98-e56aa553b1c4
|
city_library
|
With a common table expression, identify the most active library members by loan count.
|
WITH active_members AS (SELECT member_id, COUNT(*) AS loan_count FROM Loans GROUP BY member_id HAVING COUNT(*) > 3) SELECT T2.first_name, T2.last_name, T2.membership_type, T1.loan_count FROM active_members AS T1 JOIN Members AS T2 ON T1.member_id = T2.member_id ORDER BY T1.loan_count DESC;
|
Analysis
|
hard
|
cte
|
react
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "With a common table expression, identify the most active library members by loan count.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use COUNT to compute the value. I'll group the results and filter with HAVING.\nAction: execute_sql\n```sql\nWITH active_members AS (SELECT member_id, COUNT(*) AS loan_count FROM Loans GROUP BY member_id HAVING COUNT(*) > 3) SELECT T2.first_name, T2.last_name, T2.membership_type, T1.loan_count FROM active_members AS T1 JOIN Members AS T2 ON T1.member_id = T2.member_id ORDER BY T1.loan_count DESC;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | membership_type | loan_count\n-----------------------------------------------------\nZachary | Huerta | premium | 10\nMia | Lopez | senior | 9\nVickie | Hall | student | 7\nMatthew | Wiggins | standard | 7\nJames | Underwood | student | 6\nMichael | Cowan | senior | 6\nKelly | Williamson | standard | 6\nKathryn | Baker | senior | 6\nJeremy | Cox | student | 5\nSarah | Taylor | student | 5\nRichard | Carter | premium | 5\nPatricia | Espinoza | premium | 5\nCraig | Ferguson | premium | 5\nThomas | Moss | senior | 5\nRandy | Smith | student | 5\nMatthew | Barajas | senior | 5\nBarbara | Gibson | student | 4\nJacob | Hernandez | student | 4\nSheryl | Martinez | premium | 4\nDavid | Costa | senior | 4\n... (36 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: There are 36 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
b2dea251-eea9-4152-89d6-4db95df3af2d
|
university_academic
|
List department names with over 1 faculty members.
|
SELECT T2.department_name, COUNT(T1.instructor_id) AS instructor_count FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name HAVING COUNT(T1.instructor_id) > 1;
|
Analysis
|
medium
|
group_by_having
|
function_calling
| 5
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List department names with over 1 faculty members.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I should examine the available tables to plan my query strategy.",
"tool_calls": [
{
"id": "call_865948f4",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SHOW TABLES;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Tables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": "call_865948f4"
},
{
"role": "assistant",
"content": "I need to understand the `Departments` schema — let me describe it.",
"tool_calls": [
{
"id": "call_36f4ad8c",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DESCRIBE Departments;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Field | Type | Null | Key | Default | Extra\n-------------------------------------------\ndepartment_id | int | NO | PRI | NULL | \ndepartment_name | varchar(255) | NO | UNI | NULL | \noffice_location | varchar(255) | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": "call_36f4ad8c"
},
{
"role": "assistant",
"content": "I should check `Instructors`'s column definitions to write an accurate query.",
"tool_calls": [
{
"id": "call_72391fca",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"DESCRIBE Instructors;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "Field | Type | Null | Key | Default | Extra\n-------------------------------------------\ninstructor_id | int | NO | PRI | NULL | \nfirst_name | varchar(100) | NO | | NULL | \nlast_name | varchar(100) | NO | | NULL | \nemail | varchar(255) | NO | UNI | NULL | \ndepartment_id | int | YES | MUL | NULL | \nhire_date | date | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": "call_72391fca"
},
{
"role": "assistant",
"content": "This requires data from `Departments` and `Instructors`, so I need to join them. I'll group the results and filter with HAVING. I'll use COUNT to compute the value.",
"tool_calls": [
{
"id": "call_f6697ea0",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT T2.department_name, COUNT(T1.instructor_id) AS instructor_count FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name HAVING COUNT(T1.instructor_id) > 1;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "department_name | instructor_count\n----------------------------------\nBiology | 11\nBusiness | 9\nChemistry | 13\nComputer Science | 6\nEconomics | 8\nEnglish | 11\nHistory | 12\nMathematics | 13\nPhysics | 10\nPsychology | 7",
"tool_calls": null,
"tool_call_id": "call_f6697ea0"
},
{
"role": "assistant",
"content": "I got the results from the query. Now I can provide the answer. The query returned 10 results — see the list above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
fe402f40-d2a9-4ed2-8106-b78fd9d7ed23
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
|
function_calling
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the `execute_sql` tool to run SQL queries against the database.\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.\n- When you have the final answer, respond directly to the user without calling any tools.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List loans that have not been returned yet.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "I'll filter rows where the value is NULL.",
"tool_calls": [
{
"id": "call_5ddf7201",
"type": "function",
"function": {
"name": "execute_sql",
"arguments": "{\"query\": \"SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\"}"
}
}
],
"tool_call_id": null
},
{
"role": "tool",
"content": "loan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": "call_5ddf7201"
},
{
"role": "assistant",
"content": "The query completed and I have the data needed to answer the question. The query found 104 matching records. The first 20 are shown above.",
"tool_calls": null,
"tool_call_id": null
}
] |
[
{
"type": "function",
"function": {
"name": "execute_sql",
"description": "Execute a SQL query against the MySQL database and return the results.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The SQL query to execute."
}
},
"required": [
"query"
]
}
}
}
] |
644b00ca-eef4-4ea4-bb9f-8932f1f53e07
|
music_streaming
|
What is the average track duration for Metal artists?
|
SELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Metal';
|
Analysis
|
hard
|
multi_table_aggregation
|
react
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "What is the average track duration for Metal artists?",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll use AVG to compute the value.\nAction: execute_sql\n```sql\nSELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Metal';\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\navg_duration\n------------\n249.0",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The average is 249.0.",
"tool_calls": null,
"tool_call_id": null
}
] | null |
d6aa40b4-a261-4f0e-b177-565f6473fce6
|
university_academic
|
List the first and last names of all instructors and students.
|
SELECT first_name, last_name FROM Instructors UNION SELECT first_name, last_name FROM Students;
|
Querying
|
medium
|
union
|
react
| 6
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "List the first and last names of all instructors and students.",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I need to understand the `Instructors` schema — let me describe it.\nAction: execute_sql\n```sql\nDESCRIBE Instructors;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ninstructor_id | int | NO | PRI | NULL | \nfirst_name | varchar(100) | NO | | NULL | \nlast_name | varchar(100) | NO | | NULL | \nemail | varchar(255) | NO | UNI | NULL | \ndepartment_id | int | YES | MUL | NULL | \nhire_date | date | YES | | NULL | ",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: To use `Students` correctly, I'll first check its column structure.\nAction: execute_sql\n```sql\nDESCRIBE Students;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nstudent_id | int | NO | PRI | NULL | \nfirst_name | varchar(100) | NO | | NULL | \nlast_name | varchar(100) | NO | | NULL | \nemail | varchar(255) | NO | UNI | NULL | \nenrollment_date | date | YES | | NULL | \nmajor_department_id | int | YES | MUL | NULL | ",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I'll attempt to answer the question with a SQL query.\nAction: execute_sql\n```sql\nSELECT first_name, last_name FORM Instructors UNION SELECT first_name, last_name FROM Students;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nERROR: near \"Instructors\": syntax error",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: The SQL syntax was wrong. I need to fix the statement structure.\nAction: execute_sql\n```sql\nSELECT first_name, last_name FROM Instructors UNION SELECT first_name, last_name FROM Students;\n```",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nAaron | Frost\nAdam | Kane\nAdam | Miller\nAdam | Wise\nAdrienne | Ellis\nAlan | Montoya\nAlexander | Herrera\nAlexandra | Donovan\nAlexandra | Hayes\nAlexandra | Moore\nAlexis | Tyler\nAllison | Rodriguez\nAlyssa | Chavez\nAlyssa | Coleman\nAlyssa | Sanders\nAmanda | Collins\nAmanda | Dudley\nAmanda | Hill\nAmanda | Knight\nAmanda | Reed\n... (499 rows total, showing first 20)",
"tool_calls": null,
"tool_call_id": null
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: There are 499 results in total (first 20 displayed above).",
"tool_calls": null,
"tool_call_id": null
}
] | null |
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