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

1166

Output Tokens

183

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 call failed with an error stating it was not available in the previous cycle, but the tools list now shows 'calendar' as available. The user’s goal depends on knowing “tomorrow” in YYYY-MM-DD format for the flights tool. Next step is to handle the tool error by retrying the calendar tool (allowed up to 3 retries). If it fails again, fall back to asking the user for their local date or specifying the travel date directly, then proceed to call the flights tool with the resolved date.

Response: Retry the failed tool call (calendar) to get tomorrow’s date in YYYY-MM-DD format (retry up to 3 times). If it errors again, ask the user to confirm the exact travel date (or their current date/timezone) and then proceed by calling the flights tool with that date.