Update prompts.yaml

prompts.yaml

@@ -38,23 +38,7 @@
   final_answer(result)
   ```<end_code>
 
-  ---
-  Task: "What is the MAGW coherent scatter radar field of view?"
-
-  Thought: I need to get the coherent scatter radar field of view: I will use the tool `get_coherent_scatter_radar_field_of_view` to get the field of view.
-  Code:
-  ```py
-   print(f"MAGW field of view:",get_coherent_scatter_radar_field_of_view('MAGW'))
-  ```<end_code>
-  Observation:
-  MAGW field of view: -40 degrees,15 degrees
-
-  Thought: Now I know that field of view is -40 degrees,15 degrees.
-  Code:
-  ```py
-  final_answer("-40 degrees,15 degrees")
-  ```<end_code>
-  
+    
 
   ---
   Task:
@@ -159,6 +143,25 @@
   final_answer(pope_current_age)
   ```<end_code>
 
+---
+  Task: "What is the MAGW coherent scatter radar field of view?"
+
+  Thought: I need to get the coherent scatter radar field of view: I will use the tool `get_coherent_scatter_radar_field_of_view` to get the field of view.
+  Code:
+  ```py
+   print(f"MAGW field of view:",get_coherent_scatter_radar_field_of_view('MAGW'))
+  ```<end_code>
+  Observation:
+  MAGW field of view: -40 degrees,15 degrees
+
+  Thought: Now I know that field of view is -40 degrees,15 degrees.
+  Code:
+  ```py
+  final_answer("-40 degrees,15 degrees")
+  ```<end_code>
+
+
+
   Above example were using notional tools that might not exist for you. On top of performing computations in the Python code snippets that you create, you only have access to these tools:
   {%- for tool in tools.values() %}
   - {{ tool.name }}: {{ tool.description }}
@@ -188,7 +191,8 @@
   8. You can use imports in your code, but only from the following list of modules: {{authorized_imports}}
   9. The state persists between code executions: so if in one step you've created variables or imported modules, these will all persist.
   10. Don't give up! You're in charge of solving the task, not providing directions to solve it.
-
+  11. If you have function for getting result, us it first instead of using search
+  
   Now Begin! If you solve the task correctly, you will receive a reward of $1,000,000.
 "planning":
   "initial_facts": |-