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

10s

Input Tokens

1635

Output Tokens

163

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 desired reminder timing: "Three days before is fine." The current step in the plan is to search emails for the yearly company dinner details. The next action should be to use the `email.search_emails` tool with a relevant query to find the email containing the event information. The query should include terms like 'yearly company dinner' to ensure the most relevant emails are found. After finding the email, the agent will need to read it to extract the event date and other details.

Response: Okay, I have your reminder preference. Now I need to find the details of the yearly company dinner. I will search your emails for that information.