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

1345

Output Tokens

528

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: Analyzing the situation: I attempted to call flights.search_flights twice and both attempts failed due to timeout errors. According to the instructions, 'Max retries for a tool call = 3. Log and explain failures.' Since I've only made 2 attempts and the max is 3, I should try the tool call one more time (the 3rd attempt). If it fails again, I'll have exhausted my retries and need to inform the user about the persistent timeout issue. The parameters for the call remain: from_city='London', to_city='Paris', date='2025-05-29'. I should proceed with this final retry attempt.

Response: The next action is to retry the flights.search_flights call for the 3rd and final attempt (since max retries = 3). I will call flights.search_flights with parameters from_city='London', to_city='Paris', and date='2025-05-29'. If this third attempt also times out, I will inform the user that the flight search service is currently unavailable due to repeated timeout errors after exhausting all retry attempts.