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You are building a customer support resolution agent using the Claude Agent SDK.

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.

Anthropic CCAR-F Summary

  • Vendor: Anthropic
  • Product: CCAR-F
  • Update on: Aug 26, 2026
  • Questions: 152
Price: $52.5  $149.99
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