Single tool with critical definition gaps. Tool name 'maximize_bundle_pricing' lacks action verb prefix (should be 'calculate_' or 'optimize_'). Description is adequate (89 chars, within 10-1024 range) but lacks WHEN/WHY guidance. Input schema present but incomplete: candidate_attachments array items lack individual property descriptions; anchor_product and anchor_price descriptions are minimal (11-27 chars). No output schema documented, LLM cannot predict response structure. Tool implementation ignores all input parameters (client.maximize_bundle_pricing() called with no args), making parameters decorative. No error handling, validation, or recovery guidance.

• Rename tool to 'calculate_optimal_bundle_pricing' or 'optimize_bundle_pricing' to start with action verb and clarify intent.
• Implement parameter passing: modify mcp_server.py tools/call handler to extract anchor_product, anchor_price, candidate_attachments from request params and pass to client.maximize_bundle_pricing().
• Document output schema in tool definition: add 'outputSchema' field listing bundle_id (string), anchor_product (string), optimized_bundle_price (number), average_order_value_lift (string), verdict (string), etc.
• Add descriptions to candidate_attachments array item properties: 'name (string): Product name, 1-100 chars', 'price (number): Product price in USD, >= 0', 'affinity_score (number): Product affinity 0-1, higher = better bundle fit'.
• Add input validation and error responses: reject negative prices, affinity_score outside [0,1], empty anchor_product; return structured error with constraint violated and valid range.