Opper

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.

Agents – anthropic/claude-opus-4 Task | Opper AI

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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 with "Three days before is fine." to my question about when they'd like to receive the reminder. Now I need to follow the plan outlined in the scratch pad. The next step is to search for emails containing information about the yearly company dinner. According to my scratch pad, I'm currently on step 2 of 6, and the next action is to search emails to find the yearly company dinner date.

Response: Based on the plan and the user's response that three days before is fine for the reminder, the next action is to search the user's emails to find information about the yearly company dinner. I should use the email search tool with a query like "yearly company dinner" or "annual company dinner" to locate the email containing the event details and date.