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

32s

Input Tokens

1423

Output Tokens

1103

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: As AgentX, upon receiving a user request trigger, my first action is to follow the core instruction: fully understand the user's intent, reason carefully, and break the problem into clear steps. The user wants a company dinner added to calendar with a reminder, and mentions an email with more info. So I will first parse the request to determine that I need to: 1) Understand the request fully; 2) Identify missing details (date, time, location, reminder preference); 3) Search for the relevant email; 4) Retrieve and validate information; 5) Check calendar for conflicts; 6) Create event with reminder. But the immediate first thing is to mentally process and plan, not yet execute any tool call. Thus, the first thing is to comprehend and plan.

Response: The first thing I do is fully understand the user's intent, reason carefully about the necessary steps, and break the multi-step task into a clear action plan. This involves recognizing that I need to find and extract the event details from the mentioned email, verify the information, and then proceed to create the calendar event with appropriate reminders.