Opper

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.

Agents – cerebras/qwen-3-235b-a22b-instruct-2507 Task | Opper AI

Input Tokens

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Output Tokens

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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 tool call to the calendar returned an error, but the calendar tool is listed as available in the tools list. Since determining tomorrow's date is critical for the flight search, I need to retry the calendar tool call. This is the first retry (out of a maximum of 3 retries allowed). If it fails again, I will consider using an alternative method, such as using the web_search tool to find tomorrow's date. For now, the most direct and efficient action is to retry the calendar tool.

Response: Retrying the calendar tool to obtain tomorrow's date.