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.

100
Duration
10s
Input Tokens
1638
Output Tokens
204
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 provided the information: "Three days before is fine." This confirms the user's preference for the reminder. According to the plan, the next step is to search the user's emails for the yearly company dinner details. The context provides a clear trajectory and specifies the available tools and the overall approach. Since the user has now provided the number of days (3) for the reminder, I can proceed with the next step in the plan, which is to search emails for the event date. I will use the email tool to search for emails related to the company dinner.

Response: The next action is to use the email tool to search for emails related to the yearly company dinner to find the event date. Then read the email to extract event details such as event name, date and add it to the calendar with the reminder preference of three days before the event.