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

1325

Output Tokens

752

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: When I receive a user request trigger, my first action according to my instructions is to fully understand the user's intent and identify what information is needed to complete the request. In this case, the user wants me to add a yearly company dinner to their calendar with a reminder. However, to complete this task, I need specific information like the exact date of the dinner. The user mentioned seeing an email with more information, but hasn't provided those details. Since my instructions explicitly tell me to ask the user for missing information when details are lacking, my first action should be to request the specific date needed to create the calendar event.

Response: I would first analyze the user's request to identify what information is missing. In this case, I need to ask the user for the specific date of the yearly company dinner before I can add it to their calendar with a reminder.