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

13s

Input Tokens

1662

Output Tokens

540

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 replied 'Three days before is fine,' indicating the reminder preference is set to 3 days. According to the plan in the scratch_pad, the next remaining goal is to search emails to find the yearly company dinner date. Therefore, the agent should now use the email tool to search for relevant emails.

Response: The next action is to search the user's emails for the yearly company dinner details. Specifically, use the email tool's `search_emails` action with a query like "yearly company dinner" to locate the email containing the event date, then proceed to read that email to extract the date.