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

1336

Output Tokens

662

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 flights.search_flights tool has failed twice due to timeout errors. According to Rule 2 (max retries = 3), this leaves one remaining attempt. Before retrying, I should analyze the failure pattern. The context shows the tool was called with date='2025-05-29' for London to Paris flights. Since the error is timeout-related, it's likely a temporary system issue rather than a parameter error. The next action should be to retry the same tool call with identical parameters, as changing parameters prematurely could introduce new errors. If this fails, I'll need to investigate further (e.g., check date validity or system status), but per instructions, I must first exhaust the retry limit. I'll log this failure and proceed with the third attempt.

Response: Retry flights.search_flights with date='2025-05-29' for London to Paris flights (third attempt).