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

21s

Input Tokens

1391

Output Tokens

227

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: I need to break down the user's request into a clear, step-by-step plan. The user wants to add a yearly company dinner to their calendar and set a reminder. The key information I have is that there's an email with more details, and I need to first search for that email to get the date, time, and location information. I'll need to use the email tool to find relevant emails, then use the calendar tool to add the event with a reminder.

Response: Step 1: Search for emails related to 'yearly company dinner' to find the email with details.
Step 2: Read the email content to extract the date, time, and location of the dinner.
Step 3: Ask the user for the number of days they want the reminder set (or assume a reasonable default if not specified).
Step 4: Check the user's calendar for conflicts on that date.
Step 5: Create the calendar event with the extracted details and set the reminder.
Step 6: Confirm completion to the user.