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

1121

Output Tokens

463

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 in the previous cycle despite being marked as 'available'. Since the flights tool requires a 'date' parameter in YYYY-MM-DD format, I need to resolve this dependency first. I will retry the calendar tool call (Cycle 3 → 4) to ensure accurate date retrieval. If the error persists, I will use web_search to fetch today's date and calculate tomorrow's date manually as a fallback strategy.

Response: I'll retry the calendar tool to confirm tomorrow's date. If that fails again, I'll use web search to get the current date and calculate tomorrow's date manually.