The MCP Memory Server defines 4 tools with explicit Zod schemas and descriptions. All tools have input schemas with types and descriptions present. However, there are notable gaps in output schema documentation, parameter naming clarity, and error handling guidance. The naming follows verb_noun patterns (remember, retrieve, remove), which is good. Descriptions are present but generic (100-150 chars), lacking context on WHEN to use each tool or recovery guidance. Parameter descriptions are adequate but lack examples of valid formats. No output schemas are documented, forcing LLMs to infer response structure. Error handling exists (try-catch blocks) but returns raw error messages without actionable recovery guidance. Tool composition is clean, each tool has a single responsibility, but missing features like dry-run for destructive operations and batch variants.

• Add explicit output schema documentation for each tool. Example for retrieve_memories: 'Returns {success: boolean, memories: [{id: string, content: string, tags: string[], timestamp: ISO8601}], count: number, category: string}'.
• Implement a confirm_delete_memory tool or a dry_run flag for remove_memory_category and remove_specific_memory. Allow the LLM to preview what will be deleted before committing.
• Replace generic error returns with actionable guidance. Example: 'Category not found: "unknown". Use retrieve_memories(category="*") to list available categories.' This guides the agent's next step.
• Enhance parameter descriptions with format constraints. Example for 'category': 'Category name (1-50 chars, alphanumeric + underscore, e.g. "work_2024"). Use retrieve_memories(category="*") to list existing categories.'
• Expand tool descriptions to 150-200 characters and include WHEN-to-use hints. Example: 'Stores a memory with optional tags in a category. Use this when the user wants to remember project details, preferences, or recurring information. Tags enable quick retrieval by topic.'
• Add pagination to retrieve_memories. Introduce 'limit' (default 20, max 100) and 'offset' (default 0) parameters. Return {memories: [...], total_count: N, has_more: boolean, next_offset: number}.
• Change 'is_global' boolean to a semantic parameter: 'storage_location' with enum values ['global', 'local']. This is self-documenting and less error-prone than a boolean flag.
• Document the structure of 'memories' returned by retrieve_memories. Is it an array? A map by category? Objects with {id, content, tags, created_at}? LLMs need explicit schema.

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

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