Memory MCP demonstrates solid tool design with clear naming conventions (memory_search, memory_get, memory_upsert, etc.), comprehensive parameter schemas using Zod validation, and thoughtful descriptions. All 7 tools follow verb_noun patterns. Input schemas are well-defined with type constraints, enums, and min/max bounds. However, output schemas are not formally documented, responses are JSON stringified without explicit field documentation. Error handling is present but minimal (e.g., 'not found: ${name}' lacks recovery guidance). Parameter descriptions are adequate but could be more prescriptive about constraints. The server correctly rejects secrets via looksLikeSecret() validation, showing security awareness.

• Document output schemas explicitly. Define the structure of memory_search results (fields: name, description, type, status, author, updated_at) and memory_get response (all memory fields) in tool descriptions or a separate schema reference.
• Enhance error messages with recovery guidance. Change 'not found: ${name}' to 'Memory "${name}" not found. Try memory_search("${query}") to find similar memories.' Include available alternatives when possible.
• Add pagination metadata to list tools. memory_search and memory_recent should return {results: [...], total_count: N, has_more: boolean} so agents know if results are truncated.
• Expand parameter descriptions with constraint details. For memory_upsert.name, state: 'Memory name in kebab-case (lowercase letters, digits, hyphens only; 1-100 chars). Example: team-decision-2024-q1'.
• Implement confirmation pattern for destructive operations. Add an optional dry_run parameter to memory_delete, or create a separate memory_delete_confirm tool that requires explicit confirmation before permanent removal.