The server defines 2 tools with partial schema clarity. Both tools have descriptions, but parameter schemas lack detail and completeness. The naming is action-oriented (qdrant-find, qdrant-store) and appropriate for the domain. Descriptions are present but brief (89-95 chars), below the 194-char baseline for production tools. Input schemas are visible in the code but lack JSON Schema type declarations for some parameters (e.g., query_filter is declared as 'object' with no nested structure, metadata is declared as 'object' with no constraints). The store tool has a confusing parameter design: 'metadata' is marked non-optional in the schema but internally can be None, creating ambiguity for LLMs. Output schemas are minimally documented, qdrant-find returns 'list[str] | None' with no indication of structure, and qdrant-store returns a plain string with no field definitions. Error handling is not visible in the tool definitions. Security: credentials are injected via environment variables (QDRANT_URL, QDRANT_API_KEY) rather than exposed as parameters, which is correct.

• Define an explicit schema for query_filter in qdrant-find. Document allowed operators, nesting, and field names. Example: {"type": "object", "properties": {"field": {"type": "string"}, "operator": {"enum": ["eq", "gt", "lt"]}, "value": {}}}.
• Resolve the metadata parameter ambiguity: either make it optional in the schema with '= None' default, or require it and validate non-null. Add a note in the description: 'Metadata is optional and can be any JSON object (stored as-is). If omitted, no metadata is attached.'
• Document the output schema for qdrant-find. Clarify whether results are formatted as the format_entry() method shows (XML-like <entry> tags), or raw JSON. Return a structured list: [{"content": "...", "metadata": {...}}].
• Expand tool descriptions to 150 - 200 chars. For qdrant-find: 'Search stored memories by semantic similarity. Returns matching entries with content and metadata. Use this to retrieve context for answering user questions or making decisions based on stored information.' For qdrant-store: 'Store information as a memory for future retrieval. Memories are indexed and searchable by content. Include metadata (e.g. timestamp, source, tags) to organize and filter memories.'
• Add error recovery guidance to descriptions. E.g., 'If a collection does not exist, call with a valid collection_name or create the collection via Qdrant's API first.'
• For collection_name, either provide a discovery tool (list_collections) or document valid collections in the parameter description. Guide LLMs: 'Use an existing collection name. If unsure, common collections are: default-collection, user-context, session-memory.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry