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

Input Tokens

1154

Output Tokens

815

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: Analyzing the current state: We are at cycle 3. The calendar tool has successfully returned the date '2025-05-29' for tomorrow. According to the task, I have decided to call the flight tool next. I need to update the scratch pad to reflect this decision. The scratch pad should document: (1) that we are transitioning from interpreting the calendar result to executing the flights tool call, (2) the specific parameters for the flight search (from_city: London, to_city: Paris, date: 2025-05-29), (3) update progress to Step 3 of 4, and (4) update remaining goals to reflect that we are now executing the tool call rather than planning it.

Response: Current step: Execute flights tool call with parameters from_city='London', to_city='Paris', date='2025-05-29'.
Previous step: Successfully retrieved tomorrow's date (2025-05-29) from calendar tool.
Remaining goals:
- Execute flights tool call to retrieve available flights.
- Interpret flight search results from the tool response.
- Compile and present the flight options to the user.
Notes:
- Date format confirmed as YYYY-MM-DD (2025-05-29), matching tool requirements.
- Store flight search result in working memory for summary.
Progress: Step 3 of 4 (executing tool call).