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

234

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 that a reminder three days before is acceptable, satisfying the user’s preference for reminder timing. According to the plan, after receiving this information the agent must locate the event details in the user’s emails, read the relevant email to extract the date and any additional information, and then proceed to schedule the event in the calendar with the specified reminder.

Response: The next step is to search the user’s emails for the yearly company‑dinner event details (date, time, location).