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

1810

Output Tokens

158

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's response 'Three days before is fine' provides the reminder preference (3 days before the event). According to the trajectory and scratch pad, the next action is to proceed with searching the user's emails for information about the yearly company dinner to extract the event date. This uses the 'email' tool's 'search_emails' action with a relevant query like 'yearly company dinner'. Once search results are obtained, the plan is to read the relevant email and continue from there. I must execute this systematically, verifying results before proceeding to calendar actions.

Response: Use the email tool to search for emails related to the yearly company dinner: search_emails with query 'yearly company dinner'.