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

1319

Output Tokens

879

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 user requires flight information for 'tomorrow'. The initial plan was to call the `calendar` tool to determine the date. The previous cycle failed because the `calendar` tool returned an error: 'tool not available'. Although the tool is listed as 'available' in the tools list, the execution failed. Since obtaining the date is a critical prerequisite for calling the `flights` tool, and the instructions permit up to 3 retries upon tool error, the most logical and efficient next step is to retry the call to the specialized `calendar` tool. If this retry fails, I would then consider using the `web_search` tool to try and find the current date, but retrying the primary tool is the immediate course of action.

Response: I should retry calling the `calendar` tool to obtain the current date, which is necessary to calculate 'tomorrow's date' for the flight search.