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

18s

Input Tokens

1558

Output Tokens

968

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: We have just received the user's preference—three days before—for setting the reminder. According to the pre-defined plan, once the reminder offset is known, the next step is to locate the company dinner details. That means searching the user's emails to find the event date before creating the calendar entry. Therefore, the next action is to invoke the email search tool.

Response: Invoke the email.search_emails tool with a query like "yearly company dinner" to find the email containing the event date.