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

1558

Output Tokens

141

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 now provided the missing piece of information: they want a reminder three days before the yearly company dinner. With this, the next logical step in the plan (step 3) is to search the user’s emails for the actual date and details of the yearly company dinner. I will use the email search action with a query that should find the relevant email(s) containing the event information.

Response: Next action: use the email tool to search the user’s inbox for emails containing details about the yearly company dinner. I will run search_emails with query="yearly company dinner" to locate the announcement or invitation email and extract the event date.