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

1906

Output Tokens

290

Cost

$0.02

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 replied that three days before is fine for the reminder. According to the scratch pad and the plan, the agent has completed Step 2 (asking the user about reminder preference). The remaining goals listed in the scratch pad are:
1. Search emails to find the yearly company dinner date.
2. Read the email to extract event details.
3. Add the event to the calendar and check for conflicts.
4. Notify the user if conflicts exist.
5. Add the reminder as per user preference.

So the next action after receiving the user's reminder preference is to search the user's emails for information about the yearly company dinner. This means using the 'email' tool with the 'search_emails' action to find relevant emails about the company dinner.

Response: Now that the user has confirmed a 3-day advance reminder, the next action according to the plan is to **search the user's emails** for information about the yearly company dinner. Specifically, the agent should use the `email` tool with the `search_emails` action, using a query such as "yearly company dinner" to locate the email containing the event details (date, time, location, etc.). This corresponds to the next remaining goal: *Search emails to find the yearly company dinner date.*