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

1629

Output Tokens

371

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: The user has responded with "Three days before is fine" which indicates they want the reminder set for 3 days before the yearly company dinner. According to the plan in the scratch_pad, after receiving the user's preference for the reminder timing, the next step is to search emails to find the yearly company dinner date. I need to extract the event details (particularly the date) from the user's emails before I can add the event to the calendar with the 3-day reminder.

Response: Search emails for information about the yearly company dinner to find the event date. Use the email tool's search_emails action with a query like "yearly company dinner" or "company dinner".