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

Input Tokens

1392

Output Tokens

173

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: First, I identify that the trigger type is a user request, so the required initial action is to understand intent and decompose the task before executing tools. The user’s goal is to add the yearly company dinner to the calendar and set a reminder, with details likely in email. Since the question asks for the first thing to do, the correct first step is intent clarification/planning, then proceed to gather missing event details from email.

Response: The first thing I do is **fully understand and restate the user’s intent**, then break it into steps.

For this request, that means: confirm the goal is to add the yearly company dinner to the calendar with a reminder, then immediately plan to retrieve the exact event details from email (date/time) before creating the event.