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

19s

Input Tokens

1280

Output Tokens

884

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 was used to retrieve flights for London to Paris on 2025-05-29, but it failed twice due to a timeout error. According to the model instructions and the rule of maximum 3 retries per tool call, the next logical step is to make a third attempt. Before doing so, it's important to verify the available methods for the tool to ensure the call parameters remain optimal. Once confirmed, I will retry the flights.search_flights call with the same parameters. After receiving a result (or if it fails again), the next steps will involve filtering by price and storing the top 3 options in memory.

Response: Retry the flights.search_flights call (3rd attempt) with the confirmed parameters.