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

12s

Input Tokens

1209

Output Tokens

1087

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' despite being listed as available in the tools configuration. According to the instructions, when a tool returns an error, I must analyze it and decide the next action. I could retry the calendar tool (with a maximum of 3 attempts total), but since the error message explicitly indicates unavailability rather than a transient failure, retrying is unlikely to succeed and would waste cycles. The most direct and effective alternative is to use the web_search tool to find the current date, then programmatically calculate tomorrow's date in YYYY-MM-DD format required by the flights tool. This approach bypasses the unavailable calendar tool while still obtaining the necessary information to proceed with the flight search. After acquiring tomorrow's date, I can immediately call the flights tool with London, Paris, and the calculated date to fulfill the user's request.

Response: Use the web_search tool to find the current date, calculate tomorrow's date in YYYY-MM-DD format, then proceed to call the flights tool with the parameters: from_city='London', to_city='Paris', and date=[tomorrow's date].