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

1743

Output Tokens

398

Cost

$0.02

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 (tool not available). Since the user asked about flights for 'tomorrow', I need to determine tomorrow's date. Rather than retrying the calendar tool that returned 'not available' (retry likely futile), I can use the web_search tool as an alternative to determine today's/tomorrow's date. Actually, a better approach: I should retry once or use web_search to find current date. Given max retries is 3 and this was the first error, but since the error is 'tool not available' (not transient), retrying won't help. I'll use web_search to determine tomorrow's date, then proceed to flights tool.

Response: The calendar tool returned 'tool not available' — this is not a transient error, so retrying is unlikely to succeed. I will pivot to an alternative approach: use the `web_search` tool to determine today's date, from which I can compute tomorrow's date in YYYY-MM-DD format. Then I'll call the `flights` tool with from_city='London', to_city='Paris', and the computed date. Next action: call web_search with query='what is today\'s date'. If web_search also fails, as a final fallback I will ask the user to confirm the travel date before calling the flights tool.