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

15s

Input Tokens

2367

Output Tokens

133

Cost

$0.00

Context

Input

The tool call has returned an error. What should you do?

Expected output

Interpret the error and if appropriate, retry the tool call.

Model output

Reasoning: The calendar tool is available per the tools list, yet returned an error during the flight search workflow. Retrying the calendar tool call will confirm its status and ensure we have the correct date for the flight search. After obtaining the current date, we will calculate tomorrow's date (YYYY-MM-DD format) and proceed to query the flights tool for available flights from London to Paris.

Response: Retry calling the calendar tool to get today's date, compute tomorrow's date in YYYY-MM-DD format, then use the flights tool to search for flights from London to Paris.