Server has 11 tools with complete schemas and descriptions, but quality is inconsistent. All tools have input schemas with proper types and descriptions (baseline: 100% of A+ tools). However, descriptions are generic and lack LLM-optimized guidance on WHEN to use each tool vs. similar ones. Output schemas are undocumented, LLMs cannot plan downstream calls. Error handling is minimal (generic ValueError messages). Tool naming is clear (verb_noun pattern) but composition has issues: search_collection, vector_search, hybrid_search, and multi_vector_search overlap significantly without clear differentiation. No tool annotations (readOnlyHint/destructiveHint) despite clear risk levels. Parameters lack constraints (e.g., metric_type accepts free-form strings instead of enum). No pagination support despite tools returning lists. STDIO transport caps protocol readiness at 50.

• Add output schema documentation to every tool. Example: 'Returns: list of dicts with fields {id: int, name: str, vector: list[float], ...}'. This enables LLMs to plan downstream calls.
• Declare metric_type as an enum: {"type": "string", "enum": ["COSINE", "L2", "IP"]} instead of free-form string. Add similar enums for any other constrained parameters.
• Add tool annotations to the fastmcp tool registration: @mcp.tool(description=..., annotations={"readOnly": true}) for read-only tools, and {"destructive": true} for delete_entities. This signals retry safety to agents.
• Differentiate the four search tools in their descriptions. Example: 'search_collection: Full-text BM25 search on sparse fields. Use when searching text content. For vector similarity, use vector_search instead.' Repeat for each variant.
• Enhance error messages with recovery guidance. Instead of 'Failed to list collections: <error>', return 'Failed to list collections: <error>. Verify Milvus is running at <uri> and you have read permissions.' This guides agent retry logic.