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

12s

Input Tokens

1398

Output Tokens

723

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: The user has asked me to add a yearly company dinner to their calendar with a reminder. They mentioned seeing an email with more information. According to my instructions, when handling a user request, I must first fully understand the user's intent and gather all necessary details.

The user mentioned they saw an email with more info about the company dinner. The most logical first step is to search for that email to retrieve the event details (date, time, location, etc.) before I can add it to the calendar. I don't yet have the specific date of the dinner or how many days before they want the reminder.

Following the structured approach: 
1. First, search for emails about the company dinner to get the details
2. Then, if any details are still missing, ask the user for clarification
3. Finally, create the calendar event with the appropriate reminder

The first action should be to search emails using the email tool with a relevant query like 'company dinner' or 'yearly dinner'.

Response: The first thing I do is search for the email about the company dinner to get the event details (date, time, location) that I need before I can add it to your calendar. I'll use the email search tool with a query like "company dinner" to find that email you mentioned.