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

17s

Input Tokens

1329

Output Tokens

1925

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: High-level plan: determine the user’s intent from the trigger and context (add a calendar event for the yearly company dinner with a reminder), identify what details are missing (date, reminder lead time, event name exact), and decide the next action (prompt user for missing info using the user-input tool; later verify calendar conflicts before scheduling). I will keep the explanation concise and avoid exposing internal chain-of-thought.

Response: The first thing I do is interpret the trigger to confirm that the user wants me to add the annual company dinner to their calendar with a reminder, and then identify any missing details (e.g., the date and reminder lead time). If details are missing, I will prompt you for them using a clarifying prompt; once the date is known, I will check for calendar conflicts and proceed to schedule the event with a reminder.