Four tools with complete JSON schemas and basic descriptions, but significant gaps in parameter documentation and output schema clarity. Tool names follow verb_noun convention (memory_search, memory_store, memory_stats, memory_context). Descriptions range 50-120 chars, meeting minimum but lacking LLM-optimization detail. All tools have required parameters defined with types, but parameter descriptions are minimal (5-30 chars). No output schemas documented. Error handling absent from visible code. No security considerations (secrets, permissions, audit trails) evident. Composition is reasonable, each tool has single responsibility, but chaining support unclear (e.g., does memory_context return IDs for downstream use?).

• Document output schemas for all four tools. E.g., memory_search should return {results: [{id, title, narrative, facts, obs_type, timestamp}], total_count, next_cursor}. memory_context should return {context_text, token_count, observations_included}.
• Expand parameter descriptions to 50-100 chars with format/constraint hints. E.g., 'query: Search query text (1-500 chars, supports AND/OR operators)' and 'project: Project identifier (alphanumeric, 2-50 chars, e.g. my-project)'.
• Add error handling examples in tool descriptions. E.g., memory_search: 'Returns empty results if no matches found. Try broadening the query or check project name.' memory_store: 'Fails if obs_type not in [discovery, bugfix, feature, refactor, change, decision]. Use discovery for unknown types.'
• Enforce pagination in memory_search: add offset/page_size params (default limit=5, max=100), return total_count and next_cursor. Document in description: 'Results capped at 100 per call. Use next_cursor for pagination.'
• Add tool annotations (readOnlyHint, destructiveHint) to memory_store (destructive=false, but write-heavy) and memory_search (readOnlyHint=true) to guide agent planning.