This is a Go library for bridging MCP tool responses to Protocol Buffer messages, not an MCP server itself. The 7 tools are defined in Python MCP servers (FastMCP), not in the Go codebase. Tool definitions are visible in integration/python_mcp/server.py and examples/practical_microservice_flow/service1_mcp_provider/server.py. All tools have descriptions (10 - 100 chars, below the 194-char baseline). Input schemas are present with type and description for each parameter. However, output schemas are NOT documented, tools return CallToolResult with TextContent but no structured schema declaration. Error handling is minimal: only isError flag, no recovery guidance. Tool names follow verb_noun pattern (recommend_*, create_*) but lack clarity on variants (e.g., recommend_discount_text vs recommend_discount_structured differ only in output format, not intent). No tool annotations (readOnlyHint, destructiveHint) despite clear risk levels (READ_ONLY vs WRITE). Parameter descriptions are adequate but generic ('The amount for which to recommend a discount' appears verbatim in 2 tools). No pagination, no batch operations, no idempotency guarantees documented.

• Document output schemas for all tools. Specify the JSON structure returned in TextContent.text (e.g., {recommended_discount: number, confidence: number, campaign: string}) so LLMs can validate and chain operations.
• Rename recommend_discount_text and recommend_discount_structured to clarify intent. Consider recommend_discount (primary) and recommend_discount_with_confidence (if confidence is the differentiator), or split by use case rather than output format.
• Add tool annotations: mark recommend_discount_* with readOnlyHint=true; mark create_order_* with destructiveHint=true. This enables agents to reason about safety and retry logic.
• Enhance error messages with recovery guidance. Instead of 'permission denied for order creation', return 'Permission denied: user lacks write:orders scope. Contact admin or use a different user account.'
• Consolidate duplicate parameter descriptions. If amount means the same thing across tools, define it once in a shared schema or use consistent, distinct language that clarifies context (e.g., 'discount recommendation threshold' vs 'order total amount').