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

1148

Output Tokens

204

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 calendar tool returned an error in a previous cycle. The next step is to determine the root cause of the error. The error message from the tool is not provided, so I'll assume the calendar tool is unavailable. I should then skip calling the calendar tool and directly use the flight tool. The user's request is to find flights for tomorrow, and the flights tool requires a date, so I will proceed with using the flights tool. I need to check the date format, which must be YYYY-MM-DD.

Response: Since the calendar tool returned an error, I will proceed with calling the flights tool to find flights from London to Paris for tomorrow. I will assume the calendar tool is unavailable. First, I must determine tomorrow's date. Then, I will use the flights tool with the appropriate date. After that, I will show the results.