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

1623

Output Tokens

1115

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's interruption changes the task from adding a reminder to simply ensuring the company dinner is on the calendar. Since the event date is still required to create the calendar entry, I need to obtain this information from the user. The previous step of searching emails for the event details is no longer necessary as the user has not provided the date. I will use the request_user_input tool to ask for the event date directly.

Response: Please provide the date for the company dinner so I can add it to your calendar.