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-2.5-flash Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?

Expected output

Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.

Model output

Reasoning: The task states that the `flights.search_flights` tool has failed twice due to a timeout error. I need to determine the next action based on the provided instructions.

According to the instructions, specifically rule 2: "Max retries for a tool call = 3. Log and explain failures."

Since the tool has failed twice, and the maximum allowed retries is 3, there is still one retry remaining. Therefore, the next action should be to attempt the `flights.search_flights` tool call for a third time. If this third attempt also fails, then I would proceed to log and explain the failure as per the instructions.

Response: Attempt to call `flights.search_flights` for the third time, as the maximum retries allowed is 3 and it has only failed twice so far.