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

1372

Output Tokens

736

Cost

$0.00

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 user is asking for the next action after a specific tool, `flights.search_flights`, has failed twice due to a timeout. I need to consult the provided instructions to determine the correct procedure.

1.  **Analyze the situation:** The tool `flights.search_flights` has been attempted twice and failed both times.
2.  **Consult the instructions:** I will review the rules provided in the `instructions` field.
3.  **Identify the relevant rule:** Rule #2 states: '**Max retries for a tool call = 3.** Log and explain failures.'
4.  **Apply the rule:** Since the tool has only failed twice, there is one remaining retry attempt (3 max - 2 failed = 1 left).
5.  **Determine the next action:** Based on the rule, the correct next action is to attempt the tool call one more time. This would be the third and final attempt.

Response: According to the model instructions (Rule #2: 'Max retries for a tool call = 3'), the next action is to retry calling the `flights.search_flights` tool for the third and final time.