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

1166

Output Tokens

322

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 previous calendar tool call failed, but the calendar tool is listed as available and the date is required before calling the flights tool, which needs a YYYY-MM-DD date. Since retries are allowed up to 3 times and this appears to be the first calendar failure, the next best action is to retry the calendar tool once rather than proceed with an unknown date.

Response: Retry the calendar tool call to determine tomorrow’s date, using empty parameters: calendar({}). If it fails again, consider an alternative way to determine the date before calling the flights tool.