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

10s

Input Tokens

1368

Output Tokens

563

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 first step is to fully grasp the user's request and the context provided. The user mentions there's an email with more information about the company dinner event, which is necessary to determine the exact details (date, time, location, etc.) required to create the calendar event and set a proper reminder. Without confirming these details from the email, proceeding to create an event would risk inaccuracy. Hence, the priority is to retrieve that email using the email tool.

Response: Use the email tool's 'search_emails' action with the query: "company dinner" to retrieve the email containing event details. This ensures precision in scheduling the event as required by the user.