Five tools with complete schemas and descriptions, but significant gaps in parameter documentation and error handling. Tool names follow verb_noun convention (alex_health_check, alex_memory_search, alex_architecture_status, alex_knowledge_search, alex_knowledge_save). Descriptions range 80-180 chars, meeting minimum length. However, parameter descriptions are sparse or missing context. alex_memory_search has 'query' and 'memoryType' with descriptions, but 'limit' lacks guidance on why 10 is default. alex_knowledge_save requires 4 params but provides minimal guidance on markdown format or content length constraints. No output schemas documented, LLMs cannot predict response structure for chaining. No error handling guidance (e.g., what if search returns 0 results? What if knowledge_save fails due to disk space?). Risk annotations present (READ_ONLY, WRITE) but no idempotency hints or confirmation patterns for the write operation.

• Document output schema for each tool. Example for alex_memory_search: 'Returns {results: [{name: string, type: string, description: string, path: string}], total: number, limit: number}'.
• Add numeric constraints to 'limit' parameters: 'Maximum results to return (1 - 100, default: 10)' with guidance on pagination for large result sets.
• For alex_knowledge_save, add idempotency hint and error recovery guidance: 'Idempotent by title. Returns {id: string, created_at: ISO8601, status: success|error}. On failure, returns actionable error message.'
• Specify markdown format and content length for alex_knowledge_save 'content' param: 'Full insight content in markdown (max 10000 chars). Supports headings, lists, code blocks, links.'
• Add fallback behavior documentation for workspacePath: 'If not specified, searches current working directory and parent directories for .github/ folder. Fails with clear error if not found.'