Two well-named tools with strong descriptions and complete input schemas. memory_recall and memory_add follow verb_noun convention and include detailed, LLM-optimized descriptions (100+ chars each). All parameters have types and descriptions. Output schema is documented in code comments. However, no explicit output schema is visible in the tool registration itself, and error handling guidance is minimal in the tool definitions. The server demonstrates solid fundamentals but lacks some production-grade polish around error recovery and response structure documentation.

• Add explicit output schema documentation to MCPServer.add_tool() calls. Define return type as {results: [{id, content, kind, workspace, created_at, score}], core_memory: string, message: string | null} for memory_recall and {id, created_at, message: string | null} for memory_add.
• Enhance parameter descriptions with constraints: memory_recall 'k' should state '1 to 20'; memory_add 'kind' should state 'one of: note, trace, lesson (core is human-curated only)'.
• Document workspace parameter behavior explicitly: 'Omit to auto-detect from current directory; pass "all" to search all workspaces (memory_recall only); pass a workspace name to target one workspace.'
• Add error recovery guidance to tool descriptions. E.g., memory_recall: 'If no results, try broader keywords or check workspace name. If workspace not found, call with workspace="all" to list available workspaces.'
• Implement and document per-item error reporting for batch operations if keywords/supersedes arrays fail partially. Return {success: true/false, id, error_message} for each item.

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

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