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Anthropic Claude Certified Architect – Foundations CCAR-F Question # 5 Topic 1 Discussion

Anthropic Claude Certified Architect – Foundations CCAR-F Question # 5 Topic 1 Discussion

CCAR-F Exam Topic 1 Question 5 Discussion:
Question #: 5
Topic #: 1

You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high-ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools (get_customer, lookup_order, process_refund, escalate_to_human). Your target is 80%+ first-contact resolution while knowing when to escalate.

After expanding the agent’s MCP tools with delivery-specific capabilities (check_delivery_status, contact_driver, issue_credit, apply_promo_code, update_delivery_address, reschedule_delivery), the total tool count has grown from 4 to 10. Your evaluation suite shows tool selection accuracy has dropped from 88% to 71%. Log analysis reveals the majority of errors involve the agent selecting between semantically overlapping tools—calling issue_credit when process_refund was correct, and calling check_delivery_status when lookup_order already returns the needed data.

Which approach structurally eliminates the semantic overlap identified in the logs as the error source?


A.

Split the tools across two sub-agents—a “financial resolution” agent with process_refund, issue_credit, and apply_promo_code, and a “delivery operations” agent with the remaining delivery tools—with a coordinator routing between them.


B.

Consolidate semantically overlapping tools—merge issue_credit and process_refund into a single resolve_compensation tool with an action parameter, and fold check_delivery_status into lookup_order with an optional include_tracking flag.


C.

Enable the tool search tool with defer_loading on the six new tools, keeping the original four always loaded, so the agent dynamically discovers specialized tools only when needed.


D.

Add few-shot examples to the system prompt demonstrating correct selection for each ambiguous tool pair, such as showing when issue_credit applies versus when process_refund is appropriate.


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