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

1354

Output Tokens

787

Cost

$0.00

Context

Input

Your first step is to break down the problem and formulate a step by step plan. What is the plan?

Expected output

(1) Ask the user how many days before they want the reminder. (2) Use the email tool to search for emails about the yearly gathering. (3) Read the relevant email to extract the event date. (4) Use the calendar tool to add the event. (5) Check for any calendar conflicts. (6) Add the reminder X days before the event

Model output

Reasoning: 1. Identify the event details (date, time, location) from the email using the 'search_emails' and 'read_email' tools. 2. Verify the email content to confirm the exact date and time of the dinner. 3. Check the calendar for the specified date using 'read_calendar' to avoid scheduling conflicts. 4. If no conflicts exist, use 'create_event' to add the dinner event to the calendar with a default reminder (e.g., 3 days before) since specific days were not provided. 5. Request user confirmation for the reminder timing if needed. 6. Finalize the event creation and notify the user.

Response: Here is my plan:
1. Search for the email containing 'yearly company dinner' to retrieve details.
2. Extract the date and time from the email using 'read_email'.
3. Check my calendar for that date to ensure no conflicts exist.
4. Add the dinner event to the calendar with a 3-day reminder (default if unspecified).
5. Confirm with you if the reminder timing is correct or needs adjustment.
6. Finalize the event and send a confirmation response.