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

14s

Input Tokens

1104

Output Tokens

171

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 address the error returned by the calendar tool during a user's request for flight information. Given that the calendar tool is not currently available, I need to determine the next steps. Since the user requested information about flights from London to Paris tomorrow, I can proceed with two options: retry the calendar tool call or directly utilize the 'flights' tool if I can determine the date another way. However, since user input is critical to correct execution, and we may have an error limitation, I will first retry calling the calendar tool as per the instructions allowing for a maximum of three tries.

Response: Retry calling the calendar tool to retrieve the current date. If unsuccessful, consider utilizing predetermined date logic or information from previous interactions to proceed with the flights tool.