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

10s

Input Tokens

1712

Output Tokens

577

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 confirmed they want a reminder 3 days before the event. According to the plan, the next step after receiving this input is to search emails for the yearly company dinner details. The scratch pad indicates Step 2 of 6, with the next goal being to search emails. The email tool's search_emails action should be used with a query targeting the dinner event to locate the relevant email containing the date.

Response: Execute the email tool's search_emails action with the query 'yearly company dinner' to find the event date.