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

51s

Input Tokens

1428

Output Tokens

1030

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 I receive a user_request trigger, I must first fully understand the user's intent. The user wants me to add a yearly company dinner to their calendar with a reminder. However, they mention seeing 'some email with more info' but haven't provided specific details like date, time, or location. Additionally, 'some days before' for the reminder is ambiguous. To understand the intent completely and gather the necessary information to proceed, I need to first locate that email. This will give me the event details required to create a proper calendar entry. Therefore, the first action is to search for emails related to the yearly company dinner.

Response: The first thing I do is search for emails about the yearly company dinner to retrieve the event details (date, time, location) needed to add it to the calendar.