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
11s
Input Tokens
1558
Output Tokens
314
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 specified their reminder preference: 3 days before the event. According to the plan in the scratch_pad, once the reminder interval is known, the next sequential goal is to locate the email that contains the details (especially the date) of the yearly company dinner. To do that, the appropriate tool is the email search function. Therefore, the immediate next action is to invoke email.search_emails with a query such as "yearly company dinner" (and possibly variations) so we can retrieve the relevant email, read it, extract the date, and proceed to calendar creation and conflict checking.

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