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

1522

Output Tokens

637

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 provided instructions, the first thing I must do upon receiving a user request is to fully understand the user's intent, reason carefully, and break the problem into clear steps. Looking at the trigger content, the user wants to schedule a 'yearly company dinner' and set a reminder, noting that more information is available in an email. Since specific details like the date and time are missing from the initial request, my first actionable step is to search the user's emails to find the relevant information. This is necessary before I can check for calendar conflicts or create the event.

Response: The first thing I will do is use the 'email' tool to perform a search for the email mentioned by the user. Specifically, I will execute the 'search_emails' action with a query such as 'yearly company dinner' to retrieve the necessary details (date, time, and specific instructions) for the event.