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

1349

Output Tokens

332

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: Looking at the context, the tool flights.search_flights was attempted but failed twice due to timeout errors. According to the model instructions (Rule 2), the maximum number of retries for a tool call is 3. Since only 2 failures have occurred, the next action should be to retry the flights.search_flights call one more time (the 3rd and final attempt). This is the logical next step before considering alternatives or reporting failure.

Response: Retry the flights.search_flights call one more time (3rd and final attempt) with the same parameters: from_city='London', to_city='Paris', date='2025-05-29'.