Server has 6 tools with complete schemas and descriptions. Naming follows verb_noun convention (vector_search, vector_get, vector_list, vector_upsert, vector_delete, health). Descriptions are present and adequate (avg ~100 chars). However, several tools lack parameter descriptions for optional fields, and output schemas are not formally documented. Error handling is basic (isError flag present but recovery guidance missing). No tool annotations (readOnlyHint/destructiveHint) despite clear risk stratification. Mock implementation limits real-world applicability.

• Add tool annotations: mark vector_search, vector_get, vector_list, health with readOnlyHint=true; vector_upsert with destructiveHint=false (it's idempotent); vector_delete with destructiveHint=true. This enables LLMs to reason about safety without reading descriptions.
• Document output schemas formally. For vector_search, declare: returns {results: [{id, text, embedding, metadata, score}], count}. For vector_get: {id, text, embedding, metadata}. For vector_list: {count, ids}. For health: {status, user, vectorCount, timestamp}.
• Enhance error messages with recovery hints. E.g., vector_get not found: 'Document "doc-xyz" not found. Call vector_list() to see available IDs.' This guides the LLM toward self-correction.
• Add description to vector_upsert metadata parameter: 'Optional key-value metadata to attach to the document (e.g., {"source": "docs", "topic": "cloudflare"}). Keys and values must be strings.'
• Replace mock vector DB with real integration (Pinecone, Weaviate, or Cloudflare Vectorize). Current word-overlap search is not semantic and will not scale. Implement proper embedding generation and similarity search.