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 – gcp/gemini-2.0-flash-lite Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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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 'calendar' tool call returned an error. The next step is to examine the context to understand the error and decide on the next action. The context provides information about the current cycle and the remaining goals. The error from the calendar tool indicates it is not available. The remaining goal is to use the 'flights' tool. Since the calendar tool is unavailable, I should proceed with the flight search, ensuring the date is formatted correctly for the 'flights' tool.

Response: I will now attempt to find the flights using the 'flights' tool, making sure to format the date correctly. I will use the information available in the context to determine the correct date for the flight search. Since I cannot use the calendar tool, I will rely on the user's request to determine the date for the flight.