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

1630

Output Tokens

395

Cost

$0.00

Context

Input

USER INTERRUPTION: The user says, "Actually, never mind about the reminder — just make sure the company dinner is on my calendar."  What do you do to adapt your plan?

Expected output

I will revise the plan by removing the reminder step entirely, then proceed to: (1) search and read the relevant email to obtain the dinner date, (2) check for calendar conflicts, (3) create the event with calendar.create_event **without** the reminder_days_before parameter, and (4) inform the user of any conflicts and confirm the event has been added.  What matters is that the plan is explicitly updated and no reminder is scheduled.

Model output

Reasoning: The user has clarified that they no longer want a reminder and only need the company dinner added to the calendar. I will therefore modify the original plan by skipping the reminder step. The remaining steps are: (1) search the user's emails for information about the yearly company dinner, (2) read the relevant email to extract the event date, (3) verify that the date does not conflict with existing calendar events, and (4) create the calendar event without specifying any reminder. I will still double‑check the extracted details before adding the event and will inform the user once the event is successfully created or if any conflict arises.

Response: Understood. I’ll locate the email with the company dinner details, extract the date, confirm there are no calendar conflicts, and add the dinner to your calendar without a reminder. I’ll let you know as soon as the event has been created.