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

1372

Output Tokens

516

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 user's task is to determine the next action after the `flights.search_flights` tool failed twice due to a timeout. I need to consult the provided instructions, specifically rule 2, which states: 'Max retries for a tool call = 3. Log and explain failures.' Since the tool has failed two times, and the maximum allowed retries is three, there is one retry remaining. Therefore, the logical next step according to the instructions is to retry the `flights.search_flights` tool call.

Response: According to instruction 2 ("Max retries for a tool call = 3."), since the `flights.search_flights` tool has failed twice, the next action is to retry the `flights.search_flights` tool call for the third and final attempt.