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

1160

Output Tokens

250

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's request is about finding available flights from London to Paris for tomorrow. However, the 'calendar' tool, which was supposed to determine tomorrow's date, returned an error - 'tool not available'. This is a critical error as the 'flights' tool requires the date of travel in 'YYYY-MM-DD' format. Without the date, the 'flights' tool cannot be used. The instructions mention that if a tool returns an error, the next action is to think about the error and decide the next action. The instructions also mention that a tool call can be repeated, with a maximum of 3 retries. Therefore, the next action should be to retry the 'calendar' tool call to get tomorrow's date. If the 'calendar' tool continues to return an error after 3 retries, an alternative approach would be to use the 'web_search' tool to find out tomorrow's date.

Response: The next action should be to retry the 'calendar' tool call to get tomorrow's date. If the 'calendar' tool continues to return an error after 3 retries, an alternative approach would be to use the 'web_search' tool to find out tomorrow's date.