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

10s

Input Tokens

1352

Output Tokens

329

Cost

$0.01

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 saying 'tool not available', but looking at the current tool list, the calendar tool is listed as 'available'. This suggests the error might have been a transient issue. Since this is cycle 3 and the error occurred in the previous cycle, I should retry the calendar tool call. The instructions say I can retry a tool up to 3 times. This would be my second attempt (first retry). I should call the calendar tool again to get today's date so I can determine tomorrow's date, which is needed for the flights search.

Response: The tool call returned an error, but the calendar tool is listed as available in the current tools list. Since the error may have been transient, the next action is to **retry the calendar tool call**. This is the first retry (max 3 retries allowed).

**Next Action:** Call the `calendar` tool again with no parameters to retrieve the current date. Once we have today's date, we can calculate tomorrow's date and proceed to call the `flights` tool with the correct date in YYYY-MM-DD format.

**Tool Call:**
- Tool: `calendar`
- Parameters: `{}`

If the calendar tool fails again after retries, the fallback plan would be to use the `web_search` tool with a query like "current date today" to determine the date, and then proceed with the flights search.