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

19s

Input Tokens

1558

Output Tokens

2273

Cost

$0.00

Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: To schedule the dinner effectively we need the exact event date from emails before creating the calendar entry. The user approved a 3-day reminder, so once the date is confirmed I will set the reminder accordingly and verify no conflicts exist.

Response: Next action: use the email tool to search for emails about the yearly company dinner (search terms: 'yearly company dinner' or 'annual company dinner'), then read the matching email to extract the exact date. With the date confirmed, create a calendar event for that date and set a reminder 3 days before, checking for conflicts first. If multiple relevant emails are found, I will ask you to confirm the correct one.