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.

100
Duration
25s
Input Tokens
1595
Output Tokens
238
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: Upon receiving a user request trigger, I need to analyze and understand what the user is asking for. In this case, the user wants me to:
1. Add the yearly company dinner to their calendar
2. Set a reminder some days before the event
3. Find an email that contains more information about this event

The first thing I should do is search for the email that contains the company dinner information, as I need to know the specific date, time, and other details before I can create a calendar event. Without this information, I cannot accurately add the event to the calendar.

Response: The first thing I do is search for the email containing information about the yearly company dinner using the email search tool. I would use the search_emails action with a query like "yearly company dinner" or "annual company dinner" to find the relevant email. This is essential because I need to retrieve the specific details (date, time, location) before I can create an accurate calendar entry and set up the reminder as requested.