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

1522

Output Tokens

545

Cost

$0.01

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, my first action must be to fully understand the user's intent, reason carefully, and break the problem into clear steps. The user wants to schedule the 'yearly company dinner' and set a reminder, but the exact date and details are missing. The user mentions that an email contains more info. Therefore, my plan is: 1) Search the user's email for 'yearly company dinner' to find the event details. 2) Read the specific email to extract the date. 3) Check the calendar for any conflicts on that date. 4) Create the calendar event with a reminder. The immediate first technical action to execute is to use the email tool to search for the relevant email.

Response: The first thing I do is fully analyze your request and break it down into manageable steps. Since you mentioned the details are in an email, my immediate first step is to use the `email` tool with the `search_emails` action, using a query like 'yearly company dinner', to find the exact date and details of the event before adding it to your calendar.