DMCP exposes a single meta-tool, 'search_tools', with moderate quality. The tool has a clear action verb (search_), a reasonable description (194 chars, within baseline), and a properly typed input schema. However, critical gaps exist: (1) The tool description, while comprehensive, lacks explicit guidance on what happens when tools are 'enabled' or become 'callable' after discovery, this is vague for LLM planning. (2) The input schema has two parameters but neither has explicit type constraints (number type lacks min/max bounds; query is free-form string with no validation hints). (3) No output schema is documented, LLMs cannot reason about what fields the response contains or how to chain results into downstream tool calls. (4) Error handling is entirely absent from the definition. (5) The tool is not idempotent, repeated searches may return different results as the indexed toolset changes, yet this non-idempotency is not documented. (6) The 'limit' parameter defaults to 15 but maxes at 50; this is a reasonable pagination hint but lacks explicit documentation in the description. The tool definition is functional but would not pass a principal engineer's code review due to missing output schema and incomplete parameter documentation.

• Add explicit output schema documentation: 'Returns an object with a 'tools' array, each containing: {name: string, description: string, url: string, score: number}. Also includes 'total_available': number (total tools in index).'
• Revise 'limit' parameter description to: 'Maximum tools to return (default: 15, range: 1 - 50). Results are ordered by semantic relevance score (highest first).'
• Add to tool description: 'Side effects: discovered tools are registered dynamically; repeated searches with the same query may return tools in different order depending on index state. This tool is not idempotent, cache results if determinism is required.'
• Include error recovery guidance in description: 'If no results are found, try a shorter or more specific query. If search times out (>10s), the embedding service may be overloaded, retry after 5 seconds.'
• Document the 'score' field meaning in output: 'Tools are ranked by semantic similarity (0 - 1); only tools with score ≥ 0.25 are returned by default (configurable server-side).'
• Add example query patterns to description: 'Query examples: "send email" (action), "Kubernetes" (service name), "data analysis" (capability), "JSON parsing" (tool tag/category).'
• Clarify what happens when a tool is 'enabled': does it immediately become callable via the MCP server's tool list, or does it require a separate registration step? Document latency (is it instant, or does a background worker need to ingest it?)