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

27s

Input Tokens

1253

Output Tokens

1298

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 returned an error stating it is not available. This is the first failure for this tool, so I have remaining retries (max 3 allowed per the instructions). Since the flights tool requires a specific date format (YYYY-MM-DD) to search for London to Paris flights, and the calendar tool is the appropriate tool for this subtask, I should retry the calendar tool call. Transient availability errors often resolve on retry. If subsequent retries fail, I will use the web_search tool as a fallback to determine tomorrow's date.

Response: Retry calling the calendar tool to retrieve tomorrow's date, as this is the first attempt and up to 3 retries are permitted.