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

14s

Input Tokens

1595

Output Tokens

245

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: Let me analyze the user request step by step:

1. The user is asking me to handle their yearly company dinner event
2. They need two specific actions:
   - Add the event to their calendar
   - Set a reminder some days before the event
3. They mention there's an email with more information about the event

Since the user hasn't provided specific details like the date of the dinner or how many days before they want the reminder, I need to first find and retrieve the email they mentioned to get these details.

The logical first step is to search for emails related to the company dinner to gather all necessary information before creating the calendar event.

Response: The first thing I do is search for the email containing information about the yearly company dinner. I will use the email tool with the search_emails action to find emails related to "company dinner" or "yearly dinner" to retrieve the specific details like date, time, and location that I'll need to properly create the calendar event with the appropriate reminder.