Server provides 7 well-structured memory tools with consistent naming (memory_* prefix) and complete input schemas. All tools have descriptions and parameters are typed. However, descriptions are generic and lack LLM-optimization guidance (e.g., when to use memory_search vs memory_retrieve, what constitutes a good namespace). Output schemas are not documented. Error handling is absent, no guidance on what happens when a key doesn't exist or namespace is invalid. Parameter descriptions lack constraints (e.g., max key length, valid namespace patterns). No tool annotations (readOnlyHint, destructiveHint) despite clear risk levels.

• Add output schema documentation to all tools. Example for memory_retrieve: 'Returns {namespace: str, key: str, value: str, tags: list[str], created_at: ISO8601, updated_at: ISO8601, access_count: int} or null if not found.'
• Add tool annotations: @mcp.tool(annotations={'readOnlyHint': True}) for memory_retrieve, memory_search, memory_list, memory_namespaces, memory_stats; @mcp.tool(annotations={'destructiveHint': True}) for memory_delete.
• Enhance parameter descriptions with constraints: key: 'Unique identifier (1-255 chars, alphanumeric + underscore)'; namespace: 'Isolation scope (1-64 chars, alphanumeric + hyphen, default: "default")'; limit: 'Max results (1-100, default: 10-20 depending on tool)'.
• Implement explicit error handling: return {'error': 'Key not found', 'namespace': ns, 'key': k, 'suggestion': 'Call memory_search() to find similar keys'} instead of None. Validate inputs and return {'error': 'Invalid key format', 'constraint': '1-255 alphanumeric chars'} with HTTP 400.
• Clarify tool selection in descriptions: memory_retrieve: 'Fast lookup by exact key'; memory_search: 'Find keys/values matching a query (slower, use for discovery)'; memory_list: 'Browse all memories in a namespace (paginated)'; memory_namespaces: 'See namespace summary before drilling in'.