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

1198

Output Tokens

168

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 task is to handle an error returned by the 'calendar' tool and decide the next action. According to the instructions, if a tool returns an error, the next action is to think about the error and decide the next step. The error occurred because the 'calendar' tool was not available. Since the maximum retries are 3, and this is the first error, the logical next step is to retry calling the 'calendar' tool. If it fails again, alternative steps will be considered, such as using another tool or proceeding with available information.

Response: Retry calling the 'calendar' tool to get tomorrow's date. If it fails again, consider alternative steps.