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

1568

Output Tokens

1019

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 requires me to schedule the yearly company dinner and set a reminder. The crucial information (date, time, exact reminder days) is missing, but the user explicitly states the details are in an email. Therefore, the very first logical and necessary step is to retrieve this information. I will use the `email` tool and its `search_emails` action. A good search query based on the user's request is 'yearly company dinner'. Once the email is found, I will read its content to extract the date, time, and any specific instructions before proceeding to the calendar scheduling step.

Response: The first thing I will do is use the `email` tool's `search_emails` action with the query 'yearly company dinner' to locate the event details required for scheduling.