[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-remote] Remote work is allowed up to 8 days per week with manager approval.
[handbook-dress] Business casual is expected in client-facing meetings.

Question: What is the remote work days per week?

[Assistant] {"answer":"Remote work is allowed up to 8 days per week with manager approval.","sources":["policy-remote"]}


[User] Do you need to call a tool to work out 315 + 380?

[Assistant] No tool is needed for arithmetic. 315 + 380 = 695.


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-10-24 and 2025-05-01.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-10-24' AND '2025-05-01';


[User] Find Go and Airflow and Django developers in Kuala Lumpur with 10 years of experience.

[Assistant] {"tool":"candidate_search","arguments":{"skills":["Go","Airflow","Django"],"location":"Kuala Lumpur","experience_min":10}}


[User]
Return JSON with keys subject, priority, assignee and created_at.

Ticket: invoice PDF is blank. Priority P3, assigned to Hasan Hasan on 2025-04-25.

[Assistant] {"subject":"invoice PDF is blank","priority":"P3","assignee":"Hasan Hasan","created_at":"2025-04-25"}


[User] Raise an invoice for Blue Ocean Services of 18,378.96 BDT due 2026-09-14.

[Assistant] {"tool":"POST /invoices","arguments":{"vendor":"Blue Ocean Services","amount":18378.96,"currency":"BDT","due_at":"2026-09-14"}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-notice] Resignation requires 11 days written notice.
[handbook-referral] Referral bonuses are paid after the referee passes probation.

Question: What is the notice period?

[Assistant] {"answer":"Resignation requires 11 days written notice.","sources":["policy-notice"]}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-dress] Business casual is expected in client-facing meetings.
[policy-security] Passwords rotate every 36 days and must be at least 12 characters.

Question: What is the password rotation period?

[Assistant] {"answer":"Passwords rotate every 36 days and must be at least 12 characters.","sources":["policy-security"]}


[User]
Extract named entities. Return JSON with keys people, organisations and locations, each an array.

Hasan Miller, Miguel Haque met the Globex Corp team in Khulna.

[Assistant] {"people":["Hasan Miller","Miguel Haque"],"organisations":["Globex Corp"],"locations":["Khulna"]}


[User]
Return JSON with keys company and address, where address is an object with street, city and postcode.

Acme Supplies, 156 Green Road, Singapore 5903.

[Assistant] {"company":"Acme Supplies","address":{"street":"156 Green Road","city":"Singapore","postcode":"5903"}}


[User] A department starts the quarter with 729 people, 4 leave and 4 join. Return JSON with keys reasoning and closing_headcount.

[Assistant] {"reasoning":"729 - 4 + 4 = 729.","closing_headcount":729}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

in_progress P3 tickets whose subject mentions 'permission'.

[Assistant] SELECT id, subject, priority FROM tickets WHERE status = 'in_progress' AND priority = 'P3' AND subject LIKE '%permission%';


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Show open Quality Assurance roles in Toronto posted in the last 7 days.

[Assistant] {"tool":"ats.job_search","arguments":{"department":"Quality Assurance","location":"Toronto","posted_within_days":7,"status":"open"}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-remote] Remote work is allowed up to 43 days per week with manager approval.
[handbook-dress] Business casual is expected in client-facing meetings.

Question: What is the remote work days per week?

[Assistant] {"answer":"Remote work is allowed up to 43 days per week with manager approval.","sources":["policy-remote"]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-07-14 and 2025-07-04.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-07-14' AND '2025-07-04';


[User] Extract employee information: Rakib Bhuiyan works in Quality Assurance as System Administrator.

[Assistant] {"name":"Rakib Bhuiyan","department":"Quality Assurance","designation":"System Administrator"}


[User]
MCP server 'finance' exposes: invoice_report, report_export.

Give me the unpaid invoices for Blue Ocean Services in SGD.

[Assistant] {"tool":"finance.invoice_report","arguments":{"vendor":"Blue Ocean Services","currency":"SGD","status":"unpaid"}}


[User] Plan the steps to handle a P1 incident (Maria Park, owner: Security). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"handle a P1 incident","owner":"Security","steps":[{"step":1,"action":"acknowledge and page the on-call engineer","tool":"oncall_page"},{"step":2,"action":"open an incident channel","tool":"incident_open"},{"step":3,"action":"post status page update","tool":"status_publish"},{"step":4,"action":"apply mitigation and confirm recovery","tool":"deploy_rollback"},{"step":5,"action":"write the postmortem","tool":"document_store"}]}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #C-8441 from Globex Corp. Amount due: 10,926.88 SGD.

[Assistant] {"vendor":"Globex Corp","invoice_no":"C-8441","total":10926.88,"currency":"SGD"}


[User] An invoice of 5,471.14 carries 7.5% VAT. Return JSON with keys reasoning, vat and gross_total.

[Assistant] {"reasoning":"7.5% of 5471.14 is 410.34.","vat":410.34,"gross_total":5881.48}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Find Kubernetes developers in Sylhet with 6 years of experience.

[Assistant] {"tool":"ats.candidate_search","arguments":{"skills":["Kubernetes"],"location":"Sylhet","experience_min":6}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #E-7762 from Meridian Systems. Amount due: 621.55 EUR.

[Assistant] {"vendor":"Meridian Systems","invoice_no":"E-7762","total":621.55,"currency":"EUR"}


[User]
Which tool would you use for this, and why? Do not call it.

Apply for 1 days of parental leave starting 2024-11-18.

[Assistant] I would use leave_apply, because it takes exactly the fields this request specifies: leave_type, start_date, days.


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Sylhet whose primary skill is React with at least 5 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Sylhet' AND primary_skill = 'React' AND years_experience >= 5;


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 50 x barcode scanner at 799.22 EUR each.

[Assistant] {"item":"barcode scanner","quantity":50,"unit_price":799.22,"currency":"EUR","total":39961.0}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Vendors whose unpaid invoice total in AED is above 11500.

[Assistant] SELECT vendor, SUM(amount) AS unpaid_total FROM invoices WHERE currency = 'AED' AND status = 'unpaid' GROUP BY vendor HAVING SUM(amount) > 11500;


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Schedule a 45 minute meeting with Nadia Sultana, Joyce Smith on 2024-06-28.

[Assistant] {"tool":"workspace.meeting_schedule","arguments":{"attendees":["Nadia Sultana","Joyce Smith"],"date":"2024-06-28","duration_minutes":45}}


[User]
Return JSON with keys total_lines, warnings and errors for this log excerpt.

INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
WARN retry
WARN retry
WARN retry
WARN retry
WARN retry
ERROR failed
ERROR failed
ERROR failed
ERROR failed

[Assistant] {"total_lines":45,"warnings":5,"errors":4}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Find Python and Django developers in London with 10 years of experience.

[Assistant] {"tool":"ats.candidate_search","arguments":{"skills":["Python","Django"],"location":"London","experience_min":10}}


[User]
Return JSON with keys subject, priority, assignee and created_at.

Ticket: login page slow. Priority P3, assigned to Nusrat Sharma on 2025-09-16.

[Assistant] {"subject":"login page slow","priority":"P3","assignee":"Nusrat Sharma","created_at":"2025-09-16"}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-training] Each team holds a monthly internal training session.
[policy-probation] New hires are on probation for 42 months, reviewed monthly.

Question: What is the probation length?

[Assistant] {"answer":"New hires are on probation for 42 months, reviewed monthly.","sources":["policy-probation"]}


[User]
MCP server 'finance' exposes: invoice_report, report_export.

Give me the unpaid invoices for Meridian Systems in BDT.

[Assistant] {"tool":"finance.invoice_report","arguments":{"vendor":"Meridian Systems","currency":"BDT","status":"unpaid"}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #F-4427 from Acme Supplies. Amount due: 12,322.56 USD.

[Assistant] {"vendor":"Acme Supplies","invoice_no":"F-4427","total":12322.56,"currency":"USD"}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Employees with a approved annual leave request of at least 6 days.

[Assistant] SELECT e.name, l.start_date, l.days FROM leave_requests l JOIN employees e ON e.id = l.employee_id WHERE l.status = 'approved' AND l.leave_type = 'annual' AND l.days >= 6;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Mark ticket 7074 as resolved.

[Assistant] UPDATE tickets SET status = 'resolved' WHERE id = 7074;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Number of paid invoices per currency, highest first.

[Assistant] SELECT currency, COUNT(*) AS invoices_count FROM invoices WHERE status = 'paid' GROUP BY currency ORDER BY invoices_count DESC;


[User]
Return JSON with keys months (array of objects with month and revenue) and total_revenue.

2024-10: 43,537.56
2023-09: 75,408.61
2024-03: 35,435.80

[Assistant] {"months":[{"month":"2024-10","revenue":43537.56},{"month":"2023-09","revenue":75408.61},{"month":"2024-03","revenue":35435.8}],"total_revenue":154381.97}


[User] Open a P1 ticket for 'checkout API returning 500' and assign it to Lina Miller.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"checkout API returning 500","priority":"P1","assignee":"Lina Miller"}}


[User]
Return JSON with keys company and address, where address is an object with street, city and postcode.

Acme Supplies, 274 Park Road, Berlin 7584.

[Assistant] {"company":"Acme Supplies","address":{"street":"274 Park Road","city":"Berlin","postcode":"7584"}}


[User]
Return JSON with keys title, department, salary_range (object with min and max) and remote.

Hiring a DevOps Engineer for Procurement, 94000-150000 per year, remote friendly.

[Assistant] {"title":"DevOps Engineer","department":"Procurement","salary_range":{"min":94000,"max":150000},"remote":true}


[User]
Return JSON with keys months (array of objects with month and revenue) and total_revenue.

2025-06: 87,770.49
2023-10: 71,591.70
2026-11: 86,678.16

[Assistant] {"months":[{"month":"2025-06","revenue":87770.49},{"month":"2023-10","revenue":71591.7},{"month":"2026-11","revenue":86678.16}],"total_revenue":246040.35}


[User] Plan the steps to grant access to a system (Sarah Haque, owner: Product). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"grant access to a system","owner":"Product","steps":[{"step":1,"action":"verify the requester's role","tool":"employee_lookup"},{"step":2,"action":"check least-privilege policy","tool":"policy_check"},{"step":3,"action":"get data owner approval","tool":"approval_request"},{"step":4,"action":"grant the role","tool":"iam_grant"},{"step":5,"action":"set an access review date","tool":"review_schedule"}]}


[User] Delete ticket 4403.

[Assistant] {"tool":"DELETE /tickets/{id}","arguments":{"id":4403}}


[User] Do you need to call a tool to work out 60 + 259?

[Assistant] No tool is needed for arithmetic. 60 + 259 = 319.


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Open jobs in London with the budget of the owning department.

[Assistant] SELECT j.title, j.department, d.budget FROM jobs j JOIN departments d ON d.name = j.department WHERE j.status = 'open' AND j.location = 'London';


[User]
Return JSON with keys name, years_experience and skills.

Rakib Nguyen has 12 years of experience with Spark, FastAPI.

[Assistant] {"name":"Rakib Nguyen","years_experience":12,"skills":["Spark","FastAPI"]}


[User] Open a P3 ticket for 'VPN disconnects every hour' and assign it to Nabil Islam.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"VPN disconnects every hour","priority":"P3","assignee":"Nabil Islam"}}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 18 x server rack at 101.99 GBP each.

[Assistant] {"item":"server rack","quantity":18,"unit_price":101.99,"currency":"GBP","total":1835.82}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 13 x laptop dock at 655.96 EUR each.

[Assistant] {"item":"laptop dock","quantity":13,"unit_price":655.96,"currency":"EUR","total":8527.48}


[User]
Classify the sentiment. Return JSON with keys sentiment and confidence.

The reporting export worked first time, but it arrived two weeks late.

[Assistant] {"sentiment":"mixed","confidence":0.86}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

David Ahmed from Procurement requests 5 days of study leave from 2023-12-08 to 2024-10-08.

[Assistant] {"employee":"David Ahmed","department":"Procurement","leave_type":"study","start_date":"2023-12-08","end_date":"2024-10-08","days":5}


[User]
Return JSON with keys name, email, role and location.

Yusuf Khan joined as DevOps Engineer in our Jakarta office, reachable at yusuf.khan@northwind.co.

[Assistant] {"name":"Yusuf Khan","email":"yusuf.khan@northwind.co","role":"DevOps Engineer","location":"Jakarta"}


[User] Set job 1731 status to open.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":1731,"status":"open"}}


[User]
Return JSON with keys total_lines, warnings and errors for this log excerpt.

INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
WARN retry
WARN retry
WARN retry
WARN retry
WARN retry
WARN retry
ERROR failed

[Assistant] {"total_lines":28,"warnings":6,"errors":1}


[User] Notice period is 90 days. An employee gives 18 days. Return JSON with keys compliant, shortfall_days and next_step.

[Assistant] {"compliant":false,"shortfall_days":72,"next_step":"deduct shortfall from final settlement"}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Tariq Alam from Finance requests 18 days of sick leave from 2023-09-13 to 2026-05-18.

[Assistant] {"employee":"Tariq Alam","department":"Finance","leave_type":"sick","start_date":"2023-09-13","end_date":"2026-05-18","days":18}


[User] Update employee 8946 salary to 73000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":8946,"salary":73000}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

in_progress P3 tickets whose subject mentions 'outage'.

[Assistant] SELECT id, subject, priority FROM tickets WHERE status = 'in_progress' AND priority = 'P3' AND subject LIKE '%outage%';


[User] Plan the steps to approve an invoice (Anika Khan, owner: Legal). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"approve an invoice","owner":"Legal","steps":[{"step":1,"action":"match invoice to purchase order","tool":"invoice_match"},{"step":2,"action":"verify goods received note","tool":"grn_lookup"},{"step":3,"action":"route for approval by amount","tool":"approval_request"},{"step":4,"action":"schedule the payment","tool":"POST /payments"},{"step":5,"action":"file the invoice","tool":"document_store"}]}


[User]
Validate the payload against the rule that salary must be positive. Return JSON with keys valid and errors.

{"salary":-264}

[Assistant] {"valid":false,"errors":["salary must be positive"]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Number of overdue invoices per currency, lowest first.

[Assistant] SELECT currency, COUNT(*) AS invoices_count FROM invoices WHERE status = 'overdue' GROUP BY currency ORDER BY invoices_count ASC;


[User] Delete ticket 3528.

[Assistant] {"tool":"DELETE /tickets/{id}","arguments":{"id":3528}}


[User] Plan the steps to close a hiring requisition (Fahim Bhuiyan, owner: Sales). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"close a hiring requisition","owner":"Sales","steps":[{"step":1,"action":"confirm the offer was accepted","tool":"offer_status"},{"step":2,"action":"reject remaining candidates","tool":"candidate_update"},{"step":3,"action":"close the job posting","tool":"PUT /jobs/{id}/status"},{"step":4,"action":"record time-to-hire","tool":"metrics_record"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Mark ticket 5199 as open.

[Assistant] UPDATE tickets SET status = 'open' WHERE id = 5199;


[User] Open a P3 ticket for 'checkout API returning 500' and assign it to Mehedi Alam.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"checkout API returning 500","priority":"P3","assignee":"Mehedi Alam"}}


[User]
MCP server 'itsm' exposes: ticket_create, employee_lookup.

Open a P4 ticket for 'cannot access shared drive' and assign it to Tariq Zaman.

[Assistant] {"tool":"itsm.ticket_create","arguments":{"subject":"cannot access shared drive","priority":"P4","assignee":"Tariq Zaman"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Vendors whose paid invoice total in AED is above 9000.

[Assistant] SELECT vendor, SUM(amount) AS paid_total FROM invoices WHERE currency = 'AED' AND status = 'paid' GROUP BY vendor HAVING SUM(amount) > 9000;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Mark ticket 1390 as open.

[Assistant] UPDATE tickets SET status = 'open' WHERE id = 1390;


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Look up the employee record for Yusuf Chowdhury.

[Assistant] {"tool":"workspace.employee_lookup","arguments":{"name":"Yusuf Chowdhury"}}


[User] Open a P4 ticket for 'VPN disconnects every hour' and assign it to John Khan.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"VPN disconnects every hour","priority":"P4","assignee":"John Khan"}}


[User] Update employee 6399 salary to 59000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":6399,"salary":59000}}


[User] Plan the steps to close a hiring requisition (Tasnim Zaman, owner: Marketing). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"close a hiring requisition","owner":"Marketing","steps":[{"step":1,"action":"confirm the offer was accepted","tool":"offer_status"},{"step":2,"action":"reject remaining candidates","tool":"candidate_update"},{"step":3,"action":"close the job posting","tool":"PUT /jobs/{id}/status"},{"step":4,"action":"record time-to-hire","tool":"metrics_record"}]}


[User]
Classify the sentiment. Return JSON with keys sentiment and confidence.

Onboarding arrived ahead of schedule.

[Assistant] {"sentiment":"positive","confidence":0.76}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

All employees who joined after 2026-09-19.

[Assistant] SELECT * FROM employees WHERE joining_date > '2026-09-19';


[User]
Return JSON with keys title, department, salary_range (object with min and max) and remote.

Hiring a Legal Counsel for Customer Success, 99000-128000 per year, remote friendly.

[Assistant] {"title":"Legal Counsel","department":"Customer Success","salary_range":{"min":99000,"max":128000},"remote":true}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-canteen] The canteen serves lunch between 12:00 and 14:30.
[policy-probation] New hires are on probation for 44 months, reviewed monthly.

Question: What is the probation length?

[Assistant] {"answer":"New hires are on probation for 44 months, reviewed monthly.","sources":["policy-probation"]}


[User]
Classify the sentiment. Return JSON with keys sentiment and confidence.

Support saved the team a day of work, but it broke again after a day.

[Assistant] {"sentiment":"mixed","confidence":0.9}


[User] Apply for 8 days of sick leave starting 2024-03-21.

[Assistant] {"tool":"leave_apply","arguments":{"leave_type":"sick","start_date":"2024-03-21","days":8}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-security] Passwords rotate every 34 days and must be at least 12 characters.
[handbook-referral] Referral bonuses are paid after the referee passes probation.

Question: What is the password rotation period?

[Assistant] {"answer":"Passwords rotate every 34 days and must be at least 12 characters.","sources":["policy-security"]}


[User] Plan the steps to handle a P1 incident (Lina Sultana, owner: IT Support). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"handle a P1 incident","owner":"IT Support","steps":[{"step":1,"action":"acknowledge and page the on-call engineer","tool":"oncall_page"},{"step":2,"action":"open an incident channel","tool":"incident_open"},{"step":3,"action":"post status page update","tool":"status_publish"},{"step":4,"action":"apply mitigation and confirm recovery","tool":"deploy_rollback"},{"step":5,"action":"write the postmortem","tool":"document_store"}]}


[User] Look up the employee record for Shakib Das.

[Assistant] {"tool":"employee_lookup","arguments":{"name":"Shakib Das"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Dubai whose primary skill is Go with at least 5 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Dubai' AND primary_skill = 'Go' AND years_experience >= 5;


[User] Create a new employee named Tanvir Alam in Operations as Recruiter.

[Assistant] {"tool":"POST /employees","arguments":{"name":"Tanvir Alam","department":"Operations","designation":"Recruiter"}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #D-1580 from Globex Corp. Amount due: 16,676.88 EUR.

[Assistant] {"vendor":"Globex Corp","invoice_no":"D-1580","total":16676.88,"currency":"EUR"}


[User] Extract employee information: Laila Roy works in Product as System Administrator.

[Assistant] {"name":"Laila Roy","department":"Product","designation":"System Administrator"}


[User]
Normalise this expense line. Return JSON with keys category, amount, currency and reimbursable.

hardware expense of 90.72 GBP

[Assistant] {"category":"hardware","amount":90.72,"currency":"GBP","reimbursable":true}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Mark ticket 4660 as in_progress.

[Assistant] UPDATE tickets SET status = 'in_progress' WHERE id = 4660;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Tickets assigned to someone in Marketing, with the assignee department.

[Assistant] SELECT t.id, t.subject, e.department FROM tickets t JOIN employees e ON e.name = t.assignee WHERE e.department = 'Marketing';


[User] Set job 6256 status to closed.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":6256,"status":"closed"}}


[User] Plan the steps to close a hiring requisition (Kabir Zaman, owner: Sales). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"close a hiring requisition","owner":"Sales","steps":[{"step":1,"action":"confirm the offer was accepted","tool":"offer_status"},{"step":2,"action":"reject remaining candidates","tool":"candidate_update"},{"step":3,"action":"close the job posting","tool":"PUT /jobs/{id}/status"},{"step":4,"action":"record time-to-hire","tool":"metrics_record"}]}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-referral] Referral bonuses are paid after the referee passes probation.
[policy-leave] Employees accrue 5 days of annual leave per year. Unused days expire on 31 December and cannot be carried over.

Question: What is the annual leave days?

[Assistant] {"answer":"Employees accrue 5 days of annual leave per year. Unused days expire on 31 December and cannot be carried over.","sources":["policy-leave"]}


[User] Find React and SQL developers in Karachi with 14 years of experience.

[Assistant] {"tool":"candidate_search","arguments":{"skills":["React","SQL"],"location":"Karachi","experience_min":14}}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 19 x laptop dock at 559.07 AED each.

[Assistant] {"item":"laptop dock","quantity":19,"unit_price":559.07,"currency":"AED","total":10622.33}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Joyce Chowdhury from Marketing requests 11 days of sick leave from 2026-09-06 to 2023-05-21.

[Assistant] {"employee":"Joyce Chowdhury","department":"Marketing","leave_type":"sick","start_date":"2026-09-06","end_date":"2023-05-21","days":11}


[User] Schedule a 30 minute meeting with Rakib Rahman, Tariq Sultana on 2026-04-20.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Rakib Rahman","Tariq Sultana"],"date":"2026-04-20","duration_minutes":30}}


[User] Plan the steps to offboard a leaving employee (Fahim Rahman, owner: Finance). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"offboard a leaving employee","owner":"Finance","steps":[{"step":1,"action":"confirm last working day","tool":"employee_lookup"},{"step":2,"action":"revoke system access","tool":"it_deprovision"},{"step":3,"action":"collect company assets","tool":"asset_return"},{"step":4,"action":"run final settlement","tool":"POST /payroll/settlement"},{"step":5,"action":"archive the employee record","tool":"employee_update"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The 17 highest paying on_hold jobs.

[Assistant] SELECT id, title, salary_max FROM jobs WHERE status = 'on_hold' ORDER BY salary_max DESC LIMIT 17;


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #D-6487 from Initech. Amount due: 15,035.69 BDT.

[Assistant] {"vendor":"Initech","invoice_no":"D-6487","total":15035.69,"currency":"BDT"}


[User]
Return JSON with keys name, years_experience and skills.

Sadia Miller has 3 years of experience with Java, Airflow, Terraform.

[Assistant] {"name":"Sadia Miller","years_experience":3,"skills":["Java","Airflow","Terraform"]}


[User]
Return JSON with keys subject, priority, assignee and created_at.

Ticket: email alerts not sending. Priority P4, assigned to Miguel Garcia on 2023-02-12.

[Assistant] {"subject":"email alerts not sending","priority":"P4","assignee":"Miguel Garcia","created_at":"2023-02-12"}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Find Terraform developers in Dhaka with 14 years of experience.

[Assistant] {"tool":"ats.candidate_search","arguments":{"skills":["Terraform"],"location":"Dhaka","experience_min":14}}


[User]
Which tool would you use for this, and why? Do not call it.

Apply for 14 days of unpaid leave starting 2026-03-16.

[Assistant] I would use leave_apply, because it takes exactly the fields this request specifies: leave_type, start_date, days.


[User]
MCP server 'itsm' exposes: ticket_create, employee_lookup.

Look up the employee record for Nadia Nguyen.

[Assistant] {"tool":"itsm.employee_lookup","arguments":{"name":"Nadia Nguyen"}}


[User] Schedule a 15 minute meeting with Fahim Bhuiyan, Mehedi Zaman, Hasan Sarker on 2024-05-04.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Fahim Bhuiyan","Mehedi Zaman","Hasan Sarker"],"date":"2024-05-04","duration_minutes":15}}


[User]
Return JSON with keys company and address, where address is an object with street, city and postcode.

Orbit Traders, 355 Green Road, Berlin 9334.

[Assistant] {"company":"Orbit Traders","address":{"street":"355 Green Road","city":"Berlin","postcode":"9334"}}


[User] Export the 2026 pipeline report as csv.

[Assistant] {"tool":"report_export","arguments":{"report":"pipeline","year":2026,"format":"csv"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The 21 highest paying on_hold jobs.

[Assistant] SELECT id, title, salary_max FROM jobs WHERE status = 'on_hold' ORDER BY salary_max DESC LIMIT 21;


[User] Find TypeScript developers in Bangalore with 13 years of experience.

[Assistant] {"tool":"candidate_search","arguments":{"skills":["TypeScript"],"location":"Bangalore","experience_min":13}}


[User] Schedule a 90 minute meeting with Omar Karim, Nadia Islam, Miguel Das on 2024-08-15.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Omar Karim","Nadia Islam","Miguel Das"],"date":"2024-08-15","duration_minutes":90}}


[User] Look up the employee record for Sabrina Bhuiyan.

[Assistant] {"tool":"employee_lookup","arguments":{"name":"Sabrina Bhuiyan"}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-parking] Parking passes are issued by Facilities on request.
[policy-remote] Remote work is allowed up to 22 days per week with manager approval.

Question: What is the remote work days per week?

[Assistant] {"answer":"Remote work is allowed up to 22 days per week with manager approval.","sources":["policy-remote"]}


[User]
Which tool would you use for this, and why? Do not call it.

Open a P2 ticket for 'cannot access shared drive' and assign it to Farhana Karim.

[Assistant] I would use ticket_create, because it takes exactly the fields this request specifies: subject, priority, assignee.


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Number of Bangalore job postings per department, lowest first.

[Assistant] SELECT department, COUNT(*) AS job_postings_count FROM jobs WHERE location = 'Bangalore' GROUP BY department ORDER BY job_postings_count ASC;


[User] Set job 775 status to open.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":775,"status":"open"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Leave requests from Security with the employee name, first 10.

[Assistant] SELECT e.name, l.leave_type, l.days FROM leave_requests l JOIN employees e ON e.id = l.employee_id WHERE e.department = 'Security' LIMIT 10;


[User] Plan the steps to process a purchase request (Tariq Haque, owner: Quality Assurance). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"process a purchase request","owner":"Quality Assurance","steps":[{"step":1,"action":"validate budget availability","tool":"budget_check"},{"step":2,"action":"collect three vendor quotes","tool":"vendor_quotes"},{"step":3,"action":"get department head approval","tool":"approval_request"},{"step":4,"action":"raise the purchase order","tool":"POST /purchase-orders"},{"step":5,"action":"record the asset on delivery","tool":"asset_register"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Dubai whose primary skill is Airflow with at least 6 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Dubai' AND primary_skill = 'Airflow' AND years_experience >= 6;


[User]
Return JSON with keys months (array of objects with month and revenue) and total_revenue.

2025-08: 83,618.57
2025-01: 41,973.02
2023-09: 67,628.33

[Assistant] {"months":[{"month":"2025-08","revenue":83618.57},{"month":"2025-01","revenue":41973.02},{"month":"2023-09","revenue":67628.33}],"total_revenue":193219.92}


[User]
Return JSON with keys name, years_experience and skills.

Rumana Ahmed has 5 years of experience with React, Docker, AWS, Django.

[Assistant] {"name":"Rumana Ahmed","years_experience":5,"skills":["React","Docker","AWS","Django"]}


[User] Find React and Go and Django developers in Sylhet with 10 years of experience.

[Assistant] {"tool":"candidate_search","arguments":{"skills":["React","Go","Django"],"location":"Sylhet","experience_min":10}}


[User]
Return JSON with keys months (array of objects with month and revenue) and total_revenue.

2025-09: 20,387.02
2024-03: 52,496.67
2025-04: 68,314.05

[Assistant] {"months":[{"month":"2025-09","revenue":20387.02},{"month":"2024-03","revenue":52496.67},{"month":"2025-04","revenue":68314.05}],"total_revenue":141197.74}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-referral] Referral bonuses are paid after the referee passes probation.
[policy-invoice] Invoices are paid 23 days after the issue date, net terms.

Question: What is the invoice payment terms?

[Assistant] {"answer":"Invoices are paid 23 days after the issue date, net terms.","sources":["policy-invoice"]}


[User] Plan the steps to handle a P1 incident (Yusuf Hasan, owner: Finance). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"handle a P1 incident","owner":"Finance","steps":[{"step":1,"action":"acknowledge and page the on-call engineer","tool":"oncall_page"},{"step":2,"action":"open an incident channel","tool":"incident_open"},{"step":3,"action":"post status page update","tool":"status_publish"},{"step":4,"action":"apply mitigation and confirm recovery","tool":"deploy_rollback"},{"step":5,"action":"write the postmortem","tool":"document_store"}]}


[User] Plan the steps to offboard a leaving employee (Shakib Bhuiyan, owner: Product). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"offboard a leaving employee","owner":"Product","steps":[{"step":1,"action":"confirm last working day","tool":"employee_lookup"},{"step":2,"action":"revoke system access","tool":"it_deprovision"},{"step":3,"action":"collect company assets","tool":"asset_return"},{"step":4,"action":"run final settlement","tool":"POST /payroll/settlement"},{"step":5,"action":"archive the employee record","tool":"employee_update"}]}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 38 x label printer at 553.14 SGD each.

[Assistant] {"item":"label printer","quantity":38,"unit_price":553.14,"currency":"SGD","total":21019.32}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-11-01 and 2025-08-03.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-11-01' AND '2025-08-03';


[User]
Return JSON with keys subject, priority, assignee and created_at.

Ticket: invoice PDF is blank. Priority P3, assigned to Arif Khan on 2023-09-12.

[Assistant] {"subject":"invoice PDF is blank","priority":"P3","assignee":"Arif Khan","created_at":"2023-09-12"}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #C-3196 from Orbit Traders. Amount due: 10,795.45 USD.

[Assistant] {"vendor":"Orbit Traders","invoice_no":"C-3196","total":10795.45,"currency":"USD"}


[User] Delete ticket 8341.

[Assistant] {"tool":"DELETE /tickets/{id}","arguments":{"id":8341}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #E-4467 from Pinnacle Solutions. Amount due: 323.94 BDT.

[Assistant] {"vendor":"Pinnacle Solutions","invoice_no":"E-4467","total":323.94,"currency":"BDT"}


[User] Show open Product roles in Dubai posted in the last 3 days.

[Assistant] {"tool":"job_search","arguments":{"department":"Product","location":"Dubai","posted_within_days":3,"status":"open"}}


[User] A department starts the quarter with 441 people, 15 leave and 27 join. Return JSON with keys reasoning and closing_headcount.

[Assistant] {"reasoning":"441 - 15 + 27 = 453.","closing_headcount":453}


[User]
Rewrite these fields with snake_case keys. Return JSON only.

{"Full Name":"Arif Zaman","E-Mail":"arif.zaman@contoso.com","Dept.":"Data","Joined On":"2026-08-18"}

[Assistant] {"full_name":"Arif Zaman","e_mail":"arif.zaman@contoso.com","dept":"Data","joined_on":"2026-08-18"}


[User]
Rewrite these fields with snake_case keys. Return JSON only.

{"Full Name":"Chen Nguyen","E-Mail":"chen.nguyen@example.com","Dept.":"Product","Joined On":"2025-04-28"}

[Assistant] {"full_name":"Chen Nguyen","e_mail":"chen.nguyen@example.com","dept":"Product","joined_on":"2025-04-28"}


[User]
MCP server 'finance' exposes: invoice_report, report_export.

Export the 2024 headcount report as xlsx.

[Assistant] {"tool":"finance.report_export","arguments":{"report":"headcount","year":2024,"format":"xlsx"}}


[User] List employees in Human Resources, page 14.

[Assistant] {"tool":"GET /employees","arguments":{"department":"Human Resources","page":14}}


[User] Extract employee information: Nabil Islam works in Operations as Software Engineer.

[Assistant] {"name":"Nabil Islam","department":"Operations","designation":"Software Engineer"}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Departments whose average salary is above 63000.

[Assistant] SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department HAVING AVG(salary) > 63000;


[User] Plan the steps to approve an invoice (Rafi Jahan, owner: Quality Assurance). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"approve an invoice","owner":"Quality Assurance","steps":[{"step":1,"action":"match invoice to purchase order","tool":"invoice_match"},{"step":2,"action":"verify goods received note","tool":"grn_lookup"},{"step":3,"action":"route for approval by amount","tool":"approval_request"},{"step":4,"action":"schedule the payment","tool":"POST /payments"},{"step":5,"action":"file the invoice","tool":"document_store"}]}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-referral] Referral bonuses are paid after the referee passes probation.
[policy-remote] Remote work is allowed up to 38 days per week with manager approval.

Question: What is the remote work days per week?

[Assistant] {"answer":"Remote work is allowed up to 38 days per week with manager approval.","sources":["policy-remote"]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Jakarta whose primary skill is TypeScript with at least 8 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Jakarta' AND primary_skill = 'TypeScript' AND years_experience >= 8;


[User]
Return JSON with keys name, years_experience and skills.

Aisha Garcia has 13 years of experience with Airflow, Docker, Terraform, SQL.

[Assistant] {"name":"Aisha Garcia","years_experience":13,"skills":["Airflow","Docker","Terraform","SQL"]}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Priya Ahmed from Customer Success requests 15 days of unpaid leave from 2023-07-05 to 2023-01-24.

[Assistant] {"employee":"Priya Ahmed","department":"Customer Success","leave_type":"unpaid","start_date":"2023-07-05","end_date":"2023-01-24","days":15}


[User]
Return JSON with keys title, department, salary_range (object with min and max) and remote.

Hiring a Legal Counsel for Sales, 108000-127000 per year, remote friendly.

[Assistant] {"title":"Legal Counsel","department":"Sales","salary_range":{"min":108000,"max":127000},"remote":true}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-training] Each team holds a monthly internal training session.
[policy-invoice] Invoices are paid 26 days after the issue date, net terms.

Question: What is the invoice payment terms?

[Assistant] {"answer":"Invoices are paid 26 days after the issue date, net terms.","sources":["policy-invoice"]}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-canteen] The canteen serves lunch between 12:00 and 14:30.
[policy-invoice] Invoices are paid 9 days after the issue date, net terms.

Question: What is the invoice payment terms?

[Assistant] {"answer":"Invoices are paid 9 days after the issue date, net terms.","sources":["policy-invoice"]}


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Look up the employee record for Aisha Sarker.

[Assistant] {"tool":"workspace.employee_lookup","arguments":{"name":"Aisha Sarker"}}


[User]
Extract named entities. Return JSON with keys people, organisations and locations, each an array.

Hasan Bhuiyan, Tasnim Alam, Nusrat Jahan, Rafi Nguyen met the Blue Ocean Services team in Jakarta.

[Assistant] {"people":["Hasan Bhuiyan","Tasnim Alam","Nusrat Jahan","Rafi Nguyen"],"organisations":["Blue Ocean Services"],"locations":["Jakarta"]}


[User] Look up the employee record for Imran Ahmed.

[Assistant] {"tool":"employee_lookup","arguments":{"name":"Imran Ahmed"}}


[User] A backlog of 7 tickets is cleared at 1 per day. Return JSON with keys reasoning and days_needed.

[Assistant] {"reasoning":"7 / 1 = 7 days.","days_needed":7}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Show open Engineering roles in Khulna posted in the last 14 days.

[Assistant] {"tool":"ats.job_search","arguments":{"department":"Engineering","location":"Khulna","posted_within_days":14,"status":"open"}}


[User]
Return JSON with keys name, years_experience and skills.

Emma Haque has 3 years of experience with PostgreSQL, Terraform, Azure, FastAPI.

[Assistant] {"name":"Emma Haque","years_experience":3,"skills":["PostgreSQL","Terraform","Azure","FastAPI"]}


[User] Plan the steps to approve an invoice (Chen Sharma, owner: Procurement). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"approve an invoice","owner":"Procurement","steps":[{"step":1,"action":"match invoice to purchase order","tool":"invoice_match"},{"step":2,"action":"verify goods received note","tool":"grn_lookup"},{"step":3,"action":"route for approval by amount","tool":"approval_request"},{"step":4,"action":"schedule the payment","tool":"POST /payments"},{"step":5,"action":"file the invoice","tool":"document_store"}]}


[User]
Return JSON with keys name, years_experience and skills.

Laila Garcia has 6 years of experience with Python, Terraform, Kubernetes.

[Assistant] {"name":"Laila Garcia","years_experience":6,"skills":["Python","Terraform","Kubernetes"]}


[User] Set job 4473 status to on_hold.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":4473,"status":"on_hold"}}


[User]
Return JSON with keys company and address, where address is an object with street, city and postcode.

Harbor Freight Co, 210 Green Road, Dhaka 7463.

[Assistant] {"company":"Harbor Freight Co","address":{"street":"210 Green Road","city":"Dhaka","postcode":"7463"}}


[User]
MCP server 'itsm' exposes: ticket_create, employee_lookup.

Open a P4 ticket for 'printer offline' and assign it to John Mahmud.

[Assistant] {"tool":"itsm.ticket_create","arguments":{"subject":"printer offline","priority":"P4","assignee":"John Mahmud"}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-dress] Business casual is expected in client-facing meetings.
[policy-invoice] Invoices are paid 39 days after the issue date, net terms.

Question: What is the invoice payment terms?

[Assistant] {"answer":"Invoices are paid 39 days after the issue date, net terms.","sources":["policy-invoice"]}


[User]
Return JSON with keys name, email, role and location.

Nadia Sharma joined as Support Specialist in our Dhaka office, reachable at nadia.sharma@example.com.

[Assistant] {"name":"Nadia Sharma","email":"nadia.sharma@example.com","role":"Support Specialist","location":"Dhaka"}


[User] Plan the steps to approve an invoice (Rakib Jahan, owner: Operations). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"approve an invoice","owner":"Operations","steps":[{"step":1,"action":"match invoice to purchase order","tool":"invoice_match"},{"step":2,"action":"verify goods received note","tool":"grn_lookup"},{"step":3,"action":"route for approval by amount","tool":"approval_request"},{"step":4,"action":"schedule the payment","tool":"POST /payments"}]}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-expense] Expenses up to 23 USD are approved by the line manager. Anything above goes to Finance.
[handbook-parking] Parking passes are issued by Facilities on request.

Question: What is the expense approval limit?

[Assistant] {"answer":"Expenses up to 23 USD are approved by the line manager. Anything above goes to Finance.","sources":["policy-expense"]}


[User] Plan the steps to onboard a new employee (Rumana Rahman, owner: Security). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"onboard a new employee","owner":"Security","steps":[{"step":1,"action":"collect signed offer letter","tool":"document_store"},{"step":2,"action":"create payroll record","tool":"POST /payroll"},{"step":3,"action":"provision email and laptop","tool":"it_provision"},{"step":4,"action":"assign onboarding buddy","tool":"employee_update"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Number of candidates per location, lowest first.

[Assistant] SELECT location, COUNT(*) AS candidates_count FROM candidates GROUP BY location ORDER BY candidates_count ASC;


[User]
MCP server 'itsm' exposes: ticket_create, employee_lookup.

Open a P3 ticket for 'payroll export failed' and assign it to Maria Haque.

[Assistant] {"tool":"itsm.ticket_create","arguments":{"subject":"payroll export failed","priority":"P3","assignee":"Maria Haque"}}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 52 x projector at 63.38 GBP each.

[Assistant] {"item":"projector","quantity":52,"unit_price":63.38,"currency":"GBP","total":3295.76}


[User]
Extract named entities. Return JSON with keys people, organisations and locations, each an array.

Emma Chowdhury, Rakib Khan, Kabir Park, Anika Jahan met the Orbit Traders team in Colombo.

[Assistant] {"people":["Emma Chowdhury","Rakib Khan","Kabir Park","Anika Jahan"],"organisations":["Orbit Traders"],"locations":["Colombo"]}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Find SQL developers in London with 12 years of experience.

[Assistant] {"tool":"ats.candidate_search","arguments":{"skills":["SQL"],"location":"London","experience_min":12}}


[User]
Return JSON with keys subject, priority, assignee and created_at.

Ticket: email alerts not sending. Priority P3, assigned to Farhana Akter on 2025-12-25.

[Assistant] {"subject":"email alerts not sending","priority":"P3","assignee":"Farhana Akter","created_at":"2025-12-25"}


[User] Manager approval limit is 5000. An expense claim of 1,604.67 arrives. Return JSON with keys decision, reason and next_step.

[Assistant] {"decision":"approve","reason":"1604.67 is within the manager limit of 5000.","next_step":"notify the claimant"}


[User]
MCP server 'hrms' exposes: employee_lookup, leave_apply, report_export.

Export the 2026 pipeline report as pdf.

[Assistant] {"tool":"hrms.report_export","arguments":{"report":"pipeline","year":2026,"format":"pdf"}}


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Schedule a 45 minute meeting with Omar Islam, Laila Sultana, Chen Akter on 2025-02-21.

[Assistant] {"tool":"workspace.meeting_schedule","arguments":{"attendees":["Omar Islam","Laila Sultana","Chen Akter"],"date":"2025-02-21","duration_minutes":45}}


[User] Plan the steps to process a purchase request (Imran Smith, owner: Quality Assurance). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"process a purchase request","owner":"Quality Assurance","steps":[{"step":1,"action":"validate budget availability","tool":"budget_check"},{"step":2,"action":"collect three vendor quotes","tool":"vendor_quotes"},{"step":3,"action":"get department head approval","tool":"approval_request"},{"step":4,"action":"raise the purchase order","tool":"POST /purchase-orders"},{"step":5,"action":"record the asset on delivery","tool":"asset_register"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-03-01 and 2025-02-09.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-03-01' AND '2025-02-09';


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #F-6917 from Northwind Traders. Amount due: 10,250.11 GBP.

[Assistant] {"vendor":"Northwind Traders","invoice_no":"F-6917","total":10250.11,"currency":"GBP"}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

All employees who joined after 2025-02-06.

[Assistant] SELECT * FROM employees WHERE joining_date > '2025-02-06';


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-parking] Parking passes are issued by Facilities on request.
[policy-remote] Remote work is allowed up to 23 days per week with manager approval.

Question: How many employees work in the Tokyo office?

[Assistant] {"answer":"Not stated in the provided context.","sources":[]}


[User] Open a P4 ticket for 'VPN disconnects every hour' and assign it to Chen Jahan.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"VPN disconnects every hour","priority":"P4","assignee":"Chen Jahan"}}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Hasan Akter from Engineering requests 12 days of study leave from 2023-09-10 to 2024-07-07.

[Assistant] {"employee":"Hasan Akter","department":"Engineering","leave_type":"study","start_date":"2023-09-10","end_date":"2024-07-07","days":12}


[User]
Return JSON with keys company and address, where address is an object with street, city and postcode.

Blue Ocean Services, 180 Green Road, Colombo 6246.

[Assistant] {"company":"Blue Ocean Services","address":{"street":"180 Green Road","city":"Colombo","postcode":"6246"}}


[User] Plan the steps to offboard a leaving employee (Ayesha Alam, owner: Marketing). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"offboard a leaving employee","owner":"Marketing","steps":[{"step":1,"action":"confirm last working day","tool":"employee_lookup"},{"step":2,"action":"revoke system access","tool":"it_deprovision"},{"step":3,"action":"collect company assets","tool":"asset_return"},{"step":4,"action":"run final settlement","tool":"POST /payroll/settlement"},{"step":5,"action":"archive the employee record","tool":"employee_update"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Employees in Procurement with the name of their manager.

[Assistant] SELECT e.name, m.name AS manager_name FROM employees e JOIN employees m ON m.id = e.manager_id WHERE e.department = 'Procurement';


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

David Sultana from Marketing requests 17 days of sick leave from 2025-04-27 to 2024-01-10.

[Assistant] {"employee":"David Sultana","department":"Marketing","leave_type":"sick","start_date":"2025-04-27","end_date":"2024-01-10","days":17}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Colombo whose primary skill is Java with at least 5 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Colombo' AND primary_skill = 'Java' AND years_experience >= 5;


[User] Update employee 3195 salary to 71000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":3195,"salary":71000}}


[User]
Return JSON with keys name, email, role and location.

David Khan joined as Data Engineer in our Bangalore office, reachable at david.khan@northwind.co.

[Assistant] {"name":"David Khan","email":"david.khan@northwind.co","role":"Data Engineer","location":"Bangalore"}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The 6 newest on_hold jobs.

[Assistant] SELECT id, title, posted_at FROM jobs WHERE status = 'on_hold' ORDER BY posted_at DESC LIMIT 6;


[User] Schedule a 90 minute meeting with Hasan Khan, Zubair Sarker on 2023-10-21.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Hasan Khan","Zubair Sarker"],"date":"2023-10-21","duration_minutes":90}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[policy-probation] New hires are on probation for 9 months, reviewed monthly.
[handbook-referral] Referral bonuses are paid after the referee passes probation.

Question: What is the probation length?

[Assistant] {"answer":"New hires are on probation for 9 months, reviewed monthly.","sources":["policy-probation"]}


[User] Set job 4094 status to open.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":4094,"status":"open"}}


[User]
Normalise this expense line. Return JSON with keys category, amount, currency and reimbursable.

travel expense of 5,906.29 EUR

[Assistant] {"category":"travel","amount":5906.29,"currency":"EUR","reimbursable":true}


[User] 7 contractors each work 36 hours at 30 per hour. Return JSON with keys reasoning and total_cost.

[Assistant] {"reasoning":"7 x 36 hours = 252 hours, at 30 per hour that is 7560.","total_cost":7560}


[User] Open a P4 ticket for 'printer offline' and assign it to Zubair Haque.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"printer offline","priority":"P4","assignee":"Zubair Haque"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Departments whose average salary is above 106000.

[Assistant] SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department HAVING AVG(salary) > 106000;


[User] Create a new employee named Anika Mahmud in Human Resources as Business Analyst.

[Assistant] {"tool":"POST /employees","arguments":{"name":"Anika Mahmud","department":"Human Resources","designation":"Business Analyst"}}


[User] Payment terms are net 15 and the invoice is 27 days past issue. Return JSON with keys status, days_overdue and next_step.

[Assistant] {"status":"overdue","days_overdue":12,"next_step":"send a reminder to the vendor contact"}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Aisha Ali from Operations requests 12 days of annual leave from 2024-10-03 to 2025-05-25.

[Assistant] {"employee":"Aisha Ali","department":"Operations","leave_type":"annual","start_date":"2024-10-03","end_date":"2025-05-25","days":12}


[User] List employees in Procurement, page 11.

[Assistant] {"tool":"GET /employees","arguments":{"department":"Procurement","page":11}}


[User] Show open Finance roles in London posted in the last 7 days.

[Assistant] {"tool":"job_search","arguments":{"department":"Finance","location":"London","posted_within_days":7,"status":"open"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

pending P1 tickets whose subject mentions 'printer'.

[Assistant] SELECT id, subject, priority FROM tickets WHERE status = 'pending' AND priority = 'P1' AND subject LIKE '%printer%';


[User] Update employee 4699 salary to 143000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":4699,"salary":143000}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #B-9502 from Vertex Industries. Amount due: 2,961.70 USD.

[Assistant] {"vendor":"Vertex Industries","invoice_no":"B-9502","total":2961.7,"currency":"USD"}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-parking] Parking passes are issued by Facilities on request.
[policy-remote] Remote work is allowed up to 18 days per week with manager approval.

Question: What was last quarter's exact net profit?

[Assistant] {"answer":"Not stated in the provided context.","sources":[]}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #F-6007 from Blue Ocean Services. Amount due: 18,106.82 SGD.

[Assistant] {"vendor":"Blue Ocean Services","invoice_no":"F-6007","total":18106.82,"currency":"SGD"}


[User]
Return JSON with keys total_lines, warnings and errors for this log excerpt.

INFO start
INFO start
INFO start
INFO start
INFO start
INFO start
WARN retry
WARN retry
WARN retry
WARN retry
ERROR failed
ERROR failed
ERROR failed

[Assistant] {"total_lines":13,"warnings":4,"errors":3}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Open jobs in Singapore with the budget of the owning department.

[Assistant] SELECT j.title, j.department, d.budget FROM jobs j JOIN departments d ON d.name = j.department WHERE j.status = 'open' AND j.location = 'Singapore';


[User] Delete ticket 8626.

[Assistant] {"tool":"DELETE /tickets/{id}","arguments":{"id":8626}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

in_progress P2 tickets whose subject mentions 'login'.

[Assistant] SELECT id, subject, priority FROM tickets WHERE status = 'in_progress' AND priority = 'P2' AND subject LIKE '%login%';


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #C-7555 from Northwind Traders. Amount due: 18,327.87 USD.

[Assistant] {"vendor":"Northwind Traders","invoice_no":"C-7555","total":18327.87,"currency":"USD"}


[User] Look up the employee record for Shakib Akter.

[Assistant] {"tool":"employee_lookup","arguments":{"name":"Shakib Akter"}}


[User]
Normalise this expense line. Return JSON with keys category, amount, currency and reimbursable.

travel expense of 8,073.36 EUR

[Assistant] {"category":"travel","amount":8073.36,"currency":"EUR","reimbursable":true}


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Schedule a 90 minute meeting with Nabil Rahman, David Khan on 2026-01-14.

[Assistant] {"tool":"workspace.meeting_schedule","arguments":{"attendees":["Nabil Rahman","David Khan"],"date":"2026-01-14","duration_minutes":90}}


[User] Apply for 9 days of unpaid leave starting 2024-02-21.

[Assistant] {"tool":"leave_apply","arguments":{"leave_type":"unpaid","start_date":"2024-02-21","days":9}}


[User]
MCP server 'hrms' exposes: employee_lookup, leave_apply, report_export.

Apply for 5 days of sick leave starting 2025-04-22.

[Assistant] {"tool":"hrms.leave_apply","arguments":{"leave_type":"sick","start_date":"2025-04-22","days":5}}


[User] Schedule a 45 minute meeting with Fahim Ahmed, Chen Jahan on 2023-05-04.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Fahim Ahmed","Chen Jahan"],"date":"2023-05-04","duration_minutes":45}}


[User] Schedule a 30 minute meeting with Maria Islam, Zubair Uddin on 2025-11-13.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Maria Islam","Zubair Uddin"],"date":"2025-11-13","duration_minutes":30}}


[User]
MCP server 'ats' exposes: candidate_search, job_search, report_export.

Show open Product roles in Sylhet posted in the last 14 days.

[Assistant] {"tool":"ats.job_search","arguments":{"department":"Product","location":"Sylhet","posted_within_days":14,"status":"open"}}


[User] Explain QLoRA in one line.

[Assistant] Qlora is LoRA training on a base model held in 4-bit, which is what makes it fit in consumer memory.


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Arif Jahan from Data requests 13 days of annual leave from 2025-04-06 to 2024-06-08.

[Assistant] {"employee":"Arif Jahan","department":"Data","leave_type":"annual","start_date":"2025-04-06","end_date":"2024-06-08","days":13}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-03-18 and 2025-11-12.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-03-18' AND '2025-11-12';


[User] Notice period is 90 days. An employee gives 80 days. Return JSON with keys compliant, shortfall_days and next_step.

[Assistant] {"compliant":false,"shortfall_days":10,"next_step":"deduct shortfall from final settlement"}


[User]
Classify the sentiment. Return JSON with keys sentiment and confidence.

The invoice portal broke again after a day.

[Assistant] {"sentiment":"negative","confidence":0.83}


[User]
Return JSON with keys name, years_experience and skills.

Hasan Khan has 9 years of experience with Python, Java, Spark.

[Assistant] {"name":"Hasan Khan","years_experience":9,"skills":["Python","Java","Spark"]}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #E-3661 from Meridian Systems. Amount due: 12,484.43 BDT.

[Assistant] {"vendor":"Meridian Systems","invoice_no":"E-3661","total":12484.43,"currency":"BDT"}


[User] Plan the steps to handle a P1 incident (Nabil Rahman, owner: Product). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"handle a P1 incident","owner":"Product","steps":[{"step":1,"action":"acknowledge and page the on-call engineer","tool":"oncall_page"},{"step":2,"action":"open an incident channel","tool":"incident_open"},{"step":3,"action":"post status page update","tool":"status_publish"},{"step":4,"action":"apply mitigation and confirm recovery","tool":"deploy_rollback"},{"step":5,"action":"write the postmortem","tool":"document_store"}]}


[User] Payment terms are net 15 and the invoice is 84 days past issue. Return JSON with keys status, days_overdue and next_step.

[Assistant] {"status":"overdue","days_overdue":69,"next_step":"send a reminder to the vendor contact"}


[User] Plan the steps to onboard a new employee (Miguel Hasan, owner: Procurement). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"onboard a new employee","owner":"Procurement","steps":[{"step":1,"action":"collect signed offer letter","tool":"document_store"},{"step":2,"action":"create payroll record","tool":"POST /payroll"},{"step":3,"action":"provision email and laptop","tool":"it_provision"},{"step":4,"action":"assign onboarding buddy","tool":"employee_update"},{"step":5,"action":"schedule day-one orientation","tool":"meeting_schedule"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The 12 newest on_hold jobs.

[Assistant] SELECT id, title, posted_at FROM jobs WHERE status = 'on_hold' ORDER BY posted_at DESC LIMIT 12;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The 9 highest paying on_hold jobs.

[Assistant] SELECT id, title, salary_max FROM jobs WHERE status = 'on_hold' ORDER BY salary_max DESC LIMIT 9;


[User]
Return JSON with keys title, department, salary_range (object with min and max) and remote.

Hiring a Data Engineer for Finance, 78000-122000 per year, remote friendly.

[Assistant] {"title":"Data Engineer","department":"Finance","salary_range":{"min":78000,"max":122000},"remote":true}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Invoices issued between 2024-09-17 and 2025-12-19.

[Assistant] SELECT id, vendor, amount FROM invoices WHERE issued_at BETWEEN '2024-09-17' AND '2025-12-19';


[User]
Return JSON with keys title, department, salary_range (object with min and max) and remote.

Hiring a Frontend Developer for Product, 97000-127000 per year, remote friendly.

[Assistant] {"title":"Frontend Developer","department":"Product","salary_range":{"min":97000,"max":127000},"remote":true}


[User]
Validate the payload against the rule that salary must be positive. Return JSON with keys valid and errors.

{"salary":-99}

[Assistant] {"valid":false,"errors":["salary must be positive"]}


[User]
Return JSON with keys total_lines, warnings and errors for this log excerpt.

INFO start
INFO start
INFO start
INFO start
INFO start
WARN retry
WARN retry
WARN retry
WARN retry
ERROR failed
ERROR failed

[Assistant] {"total_lines":11,"warnings":4,"errors":2}


[User] Open a P4 ticket for 'printer offline' and assign it to Chen Ali.

[Assistant] {"tool":"ticket_create","arguments":{"subject":"printer offline","priority":"P4","assignee":"Chen Ali"}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #C-1655 from Northwind Traders. Amount due: 6,456.75 USD.

[Assistant] {"vendor":"Northwind Traders","invoice_no":"C-1655","total":6456.75,"currency":"USD"}


[User] Plan the steps to grant access to a system (Hasan Roy, owner: Product). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"grant access to a system","owner":"Product","steps":[{"step":1,"action":"verify the requester's role","tool":"employee_lookup"},{"step":2,"action":"check least-privilege policy","tool":"policy_check"},{"step":3,"action":"get data owner approval","tool":"approval_request"},{"step":4,"action":"grant the role","tool":"iam_grant"},{"step":5,"action":"set an access review date","tool":"review_schedule"}]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

open P4 tickets whose subject mentions 'invoice'.

[Assistant] SELECT id, subject, priority FROM tickets WHERE status = 'open' AND priority = 'P4' AND subject LIKE '%invoice%';


[User] Look up the employee record for Maria Islam.

[Assistant] {"tool":"employee_lookup","arguments":{"name":"Maria Islam"}}


[User] Delete ticket 3056.

[Assistant] {"tool":"DELETE /tickets/{id}","arguments":{"id":3056}}


[User] Plan the steps to approve an invoice (Tariq Islam, owner: Sales). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"approve an invoice","owner":"Sales","steps":[{"step":1,"action":"match invoice to purchase order","tool":"invoice_match"},{"step":2,"action":"verify goods received note","tool":"grn_lookup"},{"step":3,"action":"route for approval by amount","tool":"approval_request"},{"step":4,"action":"schedule the payment","tool":"POST /payments"},{"step":5,"action":"file the invoice","tool":"document_store"}]}


[User] Schedule a 60 minute meeting with Nusrat Molla, Nabil Molla, Rakib Hasan on 2025-12-24.

[Assistant] {"tool":"meeting_schedule","arguments":{"attendees":["Nusrat Molla","Nabil Molla","Rakib Hasan"],"date":"2025-12-24","duration_minutes":60}}


[User] Update employee 8759 salary to 140000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":8759,"salary":140000}}


[User] Manager approval limit is 5000. An expense claim of 6,069.40 arrives. Return JSON with keys decision, reason and next_step.

[Assistant] {"decision":"escalate","reason":"6069.4 is above the manager limit of 5000.","next_step":"route to Finance"}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Leave requests from Human Resources with the employee name, first 18.

[Assistant] SELECT e.name, l.leave_type, l.days FROM leave_requests l JOIN employees e ON e.id = l.employee_id WHERE e.department = 'Human Resources' LIMIT 18;


[User] Update employee 9842 salary to 118000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":9842,"salary":118000}}


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-referral] Referral bonuses are paid after the referee passes probation.
[policy-security] Passwords rotate every 31 days and must be at least 12 characters.

Question: What is the password rotation period?

[Assistant] {"answer":"Passwords rotate every 31 days and must be at least 12 characters.","sources":["policy-security"]}


[User] Set job 5977 status to on_hold.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":5977,"status":"on_hold"}}


[User]
Extract named entities. Return JSON with keys people, organisations and locations, each an array.

Joyce Zaman, Emma Sharma met the Contoso Ltd team in Berlin.

[Assistant] {"people":["Joyce Zaman","Emma Sharma"],"organisations":["Contoso Ltd"],"locations":["Berlin"]}


[User] Set job 471 status to closed.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":471,"status":"closed"}}


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #C-1558 from Meridian Systems. Amount due: 6,922.77 GBP.

[Assistant] {"vendor":"Meridian Systems","invoice_no":"C-1558","total":6922.77,"currency":"GBP"}


[User]
Extract the order as JSON with keys item, quantity, unit_price, currency and total.

We need 2 x conference camera at 617.26 EUR each.

[Assistant] {"item":"conference camera","quantity":2,"unit_price":617.26,"currency":"EUR","total":1234.52}


[User] List employees in Engineering, page 1.

[Assistant] {"tool":"GET /employees","arguments":{"department":"Engineering","page":1}}


[User] Set job 5803 status to closed.

[Assistant] {"tool":"PUT /jobs/{id}/status","arguments":{"id":5803,"status":"closed"}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

All employees who joined after 2023-05-13.

[Assistant] SELECT * FROM employees WHERE joining_date > '2023-05-13';


[User]
Extract the invoice fields as JSON with keys vendor, invoice_no, total and currency.

Invoice #B-9153 from Pinnacle Solutions. Amount due: 10,678.68 GBP.

[Assistant] {"vendor":"Pinnacle Solutions","invoice_no":"B-9153","total":10678.68,"currency":"GBP"}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Aisha Karim from Procurement requests 4 days of study leave from 2024-08-14 to 2025-04-10.

[Assistant] {"employee":"Aisha Karim","department":"Procurement","leave_type":"study","start_date":"2024-08-14","end_date":"2025-04-10","days":4}


[User] Do you need to call a tool to work out 112 - 272?

[Assistant] No tool is needed for arithmetic. 112 - 272 = -160.


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

The names and joining dates of probation employees in Marketing.

[Assistant] SELECT name, joining_date FROM employees WHERE department = 'Marketing' AND status = 'probation';


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Colombo whose primary skill is Java with at least 9 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Colombo' AND primary_skill = 'Java' AND years_experience >= 9;


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Candidates in Karachi whose primary skill is Django with at least 2 years of experience.

[Assistant] SELECT id, name, years_experience FROM candidates WHERE location = 'Karachi' AND primary_skill = 'Django' AND years_experience >= 2;


[User]
Return JSON with keys name, years_experience and skills.

Maria Sultana has 15 years of experience with AWS, Azure, React, Go.

[Assistant] {"name":"Maria Sultana","years_experience":15,"skills":["AWS","Azure","React","Go"]}


[User] Update employee 1266 salary to 194000.

[Assistant] {"tool":"PATCH /employees/{id}","arguments":{"id":1266,"salary":194000}}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Employees with a rejected sick leave request of at least 8 days.

[Assistant] SELECT e.name, l.start_date, l.days FROM leave_requests l JOIN employees e ON e.id = l.employee_id WHERE l.status = 'rejected' AND l.leave_type = 'sick' AND l.days >= 8;


[User]
Which tool would you use for this, and why? Do not call it.

Apply for 10 days of parental leave starting 2023-05-08.

[Assistant] I would use leave_apply, because it takes exactly the fields this request specifies: leave_type, start_date, days.


[User]
Answer only from the context. Return JSON with keys answer and sources.

Context:
[handbook-training] Each team holds a monthly internal training session.
[policy-remote] Remote work is allowed up to 31 days per week with manager approval.

Question: What is the remote work days per week?

[Assistant] {"answer":"Remote work is allowed up to 31 days per week with manager approval.","sources":["policy-remote"]}


[User] List employees in Product, page 13.

[Assistant] {"tool":"GET /employees","arguments":{"department":"Product","page":13}}


[User]
Extract named entities. Return JSON with keys people, organisations and locations, each an array.

Priya Zaman, Aisha Ali, Imran Chowdhury met the Harbor Freight Co team in Dhaka.

[Assistant] {"people":["Priya Zaman","Aisha Ali","Imran Chowdhury"],"organisations":["Harbor Freight Co"],"locations":["Dhaka"]}


[User]
Write a SQL query for this request. Schema:
employees(id, name, department, designation, joining_date, salary, status, manager_id)
departments(id, name, budget, head_count)
jobs(id, title, department, location, salary_min, salary_max, status, posted_at)
candidates(id, name, location, years_experience, primary_skill, status)
invoices(id, vendor, amount, currency, status, issued_at, due_at)
tickets(id, subject, priority, status, assignee, created_at, resolved_at)
leave_requests(id, employee_id, leave_type, start_date, end_date, status, days)

Employees with a pending sick leave request of at least 5 days.

[Assistant] SELECT e.name, l.start_date, l.days FROM leave_requests l JOIN employees e ON e.id = l.employee_id WHERE l.status = 'pending' AND l.leave_type = 'sick' AND l.days >= 5;


[User] Give me the unpaid invoices for Globex Corp in USD.

[Assistant] {"tool":"invoice_report","arguments":{"vendor":"Globex Corp","currency":"USD","status":"unpaid"}}


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Schedule a 45 minute meeting with Zubair Uddin, Miguel Khan on 2026-12-23.

[Assistant] {"tool":"workspace.meeting_schedule","arguments":{"attendees":["Zubair Uddin","Miguel Khan"],"date":"2026-12-23","duration_minutes":45}}


[User] Plan the steps to grant access to a system (Lina Chowdhury, owner: Marketing). Return JSON with keys goal, owner and steps, where each step has step, action and tool.

[Assistant] {"goal":"grant access to a system","owner":"Marketing","steps":[{"step":1,"action":"verify the requester's role","tool":"employee_lookup"},{"step":2,"action":"check least-privilege policy","tool":"policy_check"},{"step":3,"action":"get data owner approval","tool":"approval_request"}]}


[User]
Extract the leave request as JSON with keys employee, department, leave_type, start_date, end_date and days.

Imran Akter from Product requests 20 days of parental leave from 2024-06-23 to 2026-12-21.

[Assistant] {"employee":"Imran Akter","department":"Product","leave_type":"parental","start_date":"2024-06-23","end_date":"2026-12-21","days":20}


[User]
MCP server 'workspace' exposes: meeting_schedule, employee_lookup.

Schedule a 60 minute meeting with Omar Nguyen, Chen Jahan on 2026-04-14.

[Assistant] {"tool":"workspace.meeting_schedule","arguments":{"attendees":["Omar Nguyen","Chen Jahan"],"date":"2026-04-14","duration_minutes":60}}