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

17s

Input Tokens

1428

Output Tokens

1446

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: According to the instructions, when receiving a user request trigger, I must first fully understand the user's intent. The user wants to add a yearly company dinner to their calendar with a reminder. They explicitly mentioned seeing an email with more information, which implies the event details (date, time, location) are in an email. Since I need these details to complete the task and the user has indicated they exist in their email, the most efficient first step is to search for that email to retrieve the necessary information before proceeding with any other actions. This aligns with the instruction to 'break the problem into clear steps' and 'validate retrieved information' before taking further action.

Response: Search for emails containing information about the yearly company dinner to retrieve event details such as date, time, and location.