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

1388

Output Tokens

506

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: According to the model instructions, the maximum number of retries for a tool call is 3 (Rule #2). The flights.search_flights tool has failed twice due to timeout errors, which means I have one remaining retry attempt. Since this is a critical step in fulfilling the user's request to find flights, I should attempt the call one more time with the same parameters (London to Paris, date 2025-05-29). If this third attempt also fails, I will need to log the failure and inform the user that the flight search service is currently unavailable.

Response: I will make a third and final attempt to call flights.search_flights with parameters: from_city='London', to_city='Paris', date='2025-05-29'. This follows Rule #2 which allows up to 3 retries for a tool call.