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

1m 6s

Input Tokens

1253

Output Tokens

1018

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 failed to retrieve tomorrow's date, which is required for the flight search. Since the tool is marked as 'available' but returned an error, I'll first retry the calendar tool once (within the 3-retry limit). If it fails again, I'll use the web_search tool as a fallback to determine tomorrow's date. Once the date is confirmed in YYYY-MM-DD format, I'll proceed with the flights tool to search for London-Paris flights. This ensures progress while adhering to retry limits and tool availability.

Response: Retry the calendar tool once. If it fails again, use web_search to find tomorrow's date. Once the date is confirmed, call the flights tool with London, Paris, and the retrieved date. Present the flight options to the user.