Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
15s
Input Tokens
1262
Output Tokens
403
Cost
$0.00
Context
Input
You have decided to call the flight tool, update the scratch pad
Expected output
The scratch pad is updated with the new action, example model_output: Current step: Called 'flights' tool with parameters (from_city: London, to_city: Paris, date: 2025-05-29); waiting for tool result.
Remaining goals:
- Receive and process the flight search result.
- Summarize available flight options and present them to the user.
Notes:
- Ensure the result includes key details (flight numbers, times, prices if available).
- Store the raw flight result in working memory for reference.
- Prepare final summary once results are in.
Progress: Step 3 of 4.
Model output
Reasoning: Looking at the task, I need to update the scratch pad after deciding to call the flight tool. Based on the context, I can see that:

1. The user requested flights from London to Paris for tomorrow
2. The calendar tool was already called and returned '2025-05-29' as tomorrow's date
3. The current scratch pad shows we're at step 2 of 4 and the next action is to use the flights tool
4. Since the decision has been made to call the flight tool, I need to update the scratch pad to reflect this decision and the upcoming action

The scratch pad should be updated to show:
- Current step progression (moving from step 2 to step 3)
- The decision to call the flights tool
- The parameters that will be used (London to Paris, date 2025-05-29)
- What we expect to accomplish with this tool call

Response: Updated scratch pad:

Current step: Ready to call flights tool with confirmed parameters.
Action decided: Use 'flights' tool to search for available flights.
Parameters prepared:
- from_city: London
- to_city: Paris  
- date: 2025-05-29 (tomorrow, confirmed by calendar tool)

Remaining goals:
- Execute flight search and process results
- Compile and present flight options to the user

Notes:
- Date format (YYYY-MM-DD) matches tool requirements
- All required parameters are ready for the flight tool call
- Will store flight search results for final user response

Progress: Step 3 of 4 - About to execute flight search.