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.

Duration

23s

Input Tokens

1208

Output Tokens

287

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: I need to analyze the current state and decide the next action. The task is to call the flight tool and update the scratch pad. From the context, I see that:
1. The trigger was a user request for flight info from London to Paris for tomorrow.
2. Past trajectory shows we called the calendar tool to get tomorrow's date, which returned '2025-05-29'.
3. The current cycle is 3, and the scratch pad indicates we are at step 2 of 4: interpreting the calendar result and deciding next action.
4. Remaining goals are to use the flights tool for that date and present results.
5. Instructions emphasize efficiency, direct paths, and logical progression.

Given this, my next action should be to call the flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29'. This aligns with the plan. I must update the scratch pad to reflect this action, moving to step 3: executing the flight search. The scratch pad update should note the tool call and pending result.

Response: I will call the flights tool with the parameters from_city='London', to_city='Paris', date='2025-05-29' and update the scratch pad accordingly.