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

207

Cost

$0.01

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: 1) Identify the trigger type as a user_request and restate the user’s goal: add the yearly company dinner to the calendar with a reminder, using details from an email. 2) Determine the minimal missing info needed to proceed (event date/time/location and preferred reminder lead time) and note that the user said the details are in an email, so the first action should be to retrieve that authoritative source. 3) Choose the email tool and plan to search for the relevant message using keywords like “yearly company dinner” and “company dinner”, then read the best match to extract event details before checking calendar conflicts and creating the event.

Response: First, I would clarify the user’s intent and gather the missing event details by searching the user’s email for the message about the “yearly company dinner” (using the email tool) so I can extract the exact date/time/location before checking for calendar conflicts and creating the event with the requested reminder.