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-4.1 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 confirmed that they want the reminder three days before the event. According to my scratch pad and plan, I've completed step 2 (asking the user for reminder preference) and now need to proceed to step 3: searching emails to find information about the yearly company dinner. I need to use the email search tool to look for emails containing information about the company dinner event, then extract the date and other relevant details from those emails.

Response: Now that I know you'd like the reminder three days before the event, I'll search your emails for information about the yearly company dinner to find the date and other details.

Next action: Use the email search tool with query "yearly company dinner" or "annual company dinner" to locate the email with event information.