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

1622

Output Tokens

597

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 with their preference for the reminder timing (3 days before the event). According to the scratch pad, I have completed Step 2 (asking for reminder preference) and now need to proceed with the remaining goals. The next logical step is to search the user's emails to find information about the yearly company dinner date, as mentioned in the original user request ('I saw some email with more info'). I need to extract the event date before I can create the calendar event and set the reminder. Therefore, I should use the email search tool to look for relevant emails containing details about the yearly company dinner.

Response: Use the email tool with action 'search_emails' and query 'yearly company dinner' to find the email containing the event date and details.