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

1399

Output Tokens

918

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 a trigger is a user request, the first step according to the instructions is to fully understand the user's intent and to make sure all necessary information is available before taking any action. The user wants to add a yearly company dinner to the calendar and set a reminder, but the exact date of the dinner and the preferred number of days for the reminder have not been provided. Because critical details are missing, the instructions explicitly state that when in doubt or when details are missing, I must ask the user explicitly using the user input tool. Therefore, the immediate next step is to request this missing information from the user.

Response: Use the request_user_input tool to ask the user: "Could you please tell me the date of the yearly company dinner and how many days in advance you would like a reminder set?"