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

1621

Output Tokens

207

Cost

$0.01

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 answered the pending clarification: they want the calendar reminder set 3 days before the event. According to the existing plan, the next step after obtaining the reminder preference is to search the user's emails for information about the yearly company dinner, then read the relevant email to extract the event date and details before creating the calendar event.

Response: Next action: search the user's emails for the yearly company dinner details, using a query such as "yearly company dinner". Store the reminder preference as 3 days before the event for later calendar creation.