NeuralVaultCore defines 5 tools with complete input schemas and descriptions. Naming follows verb_noun convention (store_, retrieve_, search_, list_, get_). Descriptions are concise (40 - 120 chars) and explain WHAT each tool does. However, descriptions lack WHEN/WHY context and dependency hints. Parameter descriptions are present but generic (e.g., 'Memory key identifier' for 'key'). Output schemas are not documented, LLMs cannot infer response structure. Error handling is absent from tool definitions. No tool annotations (readOnlyHint, destructiveHint). store_memory is marked WRITE but lacks confirmation/dry-run pattern. Overall: solid foundation, but missing LLM-optimization details and output documentation.

• Document output schemas for all tools. E.g., retrieve_memory returns {key, content, title, tags, namespace, version, created_at, updated_at}. Include field types and whether pagination is supported.
• Enhance descriptions with WHEN/WHY context. E.g., 'retrieve_memory: Get a single memory by exact key. Use search_memories if you don't know the key or need fuzzy matching. Returns full content; use keys_only=true in list_all_memories for token efficiency.'
• Add tool annotations: store_memory → destructiveHint=true (overwrites); retrieve_memory, search_memories, list_all_memories, get_context → readOnlyHint=true.
• Implement confirmation pattern for store_memory: add a 'dry_run' parameter (default false) that returns the diff without persisting. Or require explicit 'confirm=true' for overwrites.
• Clarify parameter constraints in descriptions. E.g., 'key: alphanumeric + underscore, 1-255 chars'; 'tags: comma-separated, each 1-50 chars'; 'limit: 1-100 (default 20)'; 'max_chars: 0 for unlimited, default 2000'.

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

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