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

1699

Output Tokens

167

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: I've received the user's response: "Three days before is fine." This indicates they want a reminder 3 days before the yearly company dinner. According to my existing plan, I was waiting for this input to proceed. The next action in my plan is to search emails to find the yearly company dinner date. I need to use the email tool to search for emails about the company dinner, then read the email to extract event details. This aligns with step 2 of my 6-step plan. I should update my scratch pad to reflect that I've received the user's reminder preference and am moving to the email search step.

Response: Search the user's emails for information about the yearly company dinner to find the event date.