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

10s

Input Tokens

1496

Output Tokens

274

Cost

$0.01

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: According to the model instructions (Rule 2), the maximum retries for a tool call is 3. Since the tool has only failed twice due to a timeout error, the correct next action is to log the previous failures and retry the `flights.search_flights` tool call for the third and final attempt.

Response: According to the instructions (Rule 2: Max retries for a tool call = 3), my next action is to log the timeout failures and retry the `flights.search_flights` tool call for the third and final time. If it fails again on the third try, I will need to explain the failure and stop retrying that specific call.