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

48s

Input Tokens

1839

Output Tokens

276

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 responded that 'Three days before is fine' for the reminder. According to my scratch pad from the previous cycle, I've completed step 2 (asking for reminder preference) and now need to proceed to step 3: searching emails to find the yearly company dinner date.

Looking at my remaining goals:
1. Search emails to find the yearly company dinner date ← NEXT ACTION
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 (3 days before)

I now have the reminder preference (3 days), so I should search for emails containing information about the yearly company dinner to find the date and other relevant details.

Response: Now that I know you'd like the reminder 3 days before the event, I'll search your emails for information about the yearly company dinner. Let me look for emails containing details about this event.

Action: I'll use the email search tool to find emails related to 'yearly company dinner' or 'annual company dinner'.