Four tools with clear naming (memory_search, memory_add, memory_recall_stage, memory_stats) and good descriptions (avg 180 chars, well above 10-char minimum). All tools have Zod schemas with typed parameters and descriptions. However, output schemas are not formally documented, responses are inferred from code (TextContent blocks). memory_add has optional parameters with smart defaults (pipeline, stage auto-detected from env). No error handling guidance (e.g., what if search returns no results, or memory store is corrupted). No pagination despite memory_search and memory_recall_stage returning lists (capped at 10 results, but no limit param or next_cursor). Schemas are present and valid but output structure is implicit, not explicit.

• Document output schemas explicitly. Define memory_search response as {memories: [{id, category, content, sourceStage, createdAt, tags}], total, hasMore} instead of returning formatted text.
• Add limit and offset/cursor parameters to memory_search and memory_recall_stage. Allow agents to paginate through large result sets. Update descriptions to state 'Returns up to 10 results by default; use limit parameter to fetch more.'
• Enhance error responses with recovery hints. E.g., 'No memories found for query "X". Try: (1) search with broader keywords, (2) call memory_stats to see what categories exist, (3) proceed without context.'
• Make pipeline and stage explicit parameters in memory_add instead of relying on environment variables. This gives agents control and makes calls self-contained and reproducible.
• Return memory_stats as structured JSON {total, active, superseded, byCategory: {...}, byPipeline: {...}} instead of formatted text, enabling agents to make decisions based on memory bank state.