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

11s

Input Tokens

1345

Output Tokens

195

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's request was to find the cheapest flights from London to Paris for tomorrow. The calendar tool was successfully used to get tomorrow's date (2025-05-29). The next planned action was to call flights.search_flights with the parameters from_city='London', to_city='Paris', date='2025-05-29'. The instruction 'Max retries for a tool call = 3' means I can retry the tool call up to 3 times if it fails. The context states the tool failed twice due to a timeout error. Since the tool is available and I have not exceeded the maximum number of retries (3), my next action should be to retry the flights.search_flights tool call.

Response: Retry the flights.search_flights tool call with the same parameters: from_city='London', to_city='Paris', date='2025-05-29'.