recall-mcp-v2 has well-structured tool definitions with complete JSON schemas and clear descriptions. All 5 tools are explicitly registered with proper input schemas including types, enums, and required fields. Descriptions are concise (10-50 chars) and action-oriented. However, output schemas are not documented, LLMs cannot predict response structure. Parameter descriptions in the schema are minimal (e.g., 'Namespace for the memory' lacks guidance on format/constraints). Error handling is absent from tool definitions. The server uses Zod for validation but does not expose validation rules or recovery guidance to the LLM. Security is well-handled server-side (auth token, constant-time comparison), but this is not visible in tool definitions.

• Document output schemas for all tools. Example: recall_search should return {results: [{id, content, summary, category, weight, score}], total_count, next_cursor}. Include field types and descriptions.
• Enhance parameter descriptions with format/constraint rules. E.g., namespace: 'Alphanumeric identifier (1-50 chars, no spaces). Defaults to "global". Used to partition memories by context.'
• Add error handling guidance to tool descriptions. E.g., recall_search: 'If no results found, try broadening the query or changing mode from semantic to fts. If mode=semantic fails, the embedding service may be unavailable, retry with mode=fts.'
• Split recall_forget into two tools: recall_delete (permanent removal) and recall_weaken (reduce weight). Each has one clear responsibility and clearer semantics.
• Clarify recall_digest purpose and output. E.g., 'Returns a markdown summary of all STRONG and MEDIUM memories in the namespace, useful for periodic reviews. Output includes memory IDs for follow-up queries.'