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

22s

Input Tokens

1329

Output Tokens

748

Cost

$0.00

Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: According to the instructions, when a user‐request trigger arrives I must first fully understand the user’s intent before performing any actions. That means I need to restate and confirm what the user wants (add the yearly company dinner to the calendar and set a reminder) and identify any missing details (event date, reminder lead time, etc.). Only after confirming these details will I proceed to search emails or create the calendar event.

Response: The first thing I do is fully understand and clarify the user’s intent by restating their request and asking any missing questions (for example: “Can you confirm the exact dinner date and how many days before you’d like the reminder?”).