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

16s

Input Tokens

1281

Output Tokens

187

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 tool 'flights.search_flights' failed twice due to a timeout error. According to the instructions, I need to consider options after consecutive tool call failures. Since I have a maximum of three retries, the next logical action is to attempt the 'search_flights' command once more because I have not yet exhausted my retry limit. Additionally, I should log the failures and consider alternate actions only if this attempt fails again. Therefore, I will retry 'flights.search_flights' with the parameters 'from_city: London', 'to_city: Paris', and 'date: 2025-05-29'.

Response: Retry the tool 'flights.search_flights' one more time with the parameters 'from_city: London', 'to_city: Paris', and 'date: 2025-05-29'.