Critical failures across all dimensions. Tool definitions exist in backend/ruvie/tools/builtin.py but source code is not provided for inspection. All 47 tools have only 1-line descriptions (10-30 chars), far below the 50-200 char baseline for LLM-optimized descriptions. No input schemas, parameter types, or output schemas are visible in the provided code. Tool names are inconsistent: some use verb_noun (add_memory, create_automation), others use noun_verb (grep_knowledge_files, kb_exec). No evidence of parameter descriptions, enums, or validation. Error handling patterns not visible. This server cannot be reliably used by agents without complete schema documentation.

• Expand all tool descriptions to 50-200 characters. Example: 'Add a memory entry' → 'Store a new memory entry with optional tags and metadata. Use this to persist facts, preferences, or context the agent should remember across conversations.'
• Document input schemas for all 47 tools with explicit parameter types, descriptions, and constraints. Example: { 'type': 'object', 'properties': { 'memory_text': { 'type': 'string', 'description': 'The memory content (max 2000 chars)', 'maxLength': 2000 }, 'tags': { 'type': 'array', 'items': { 'type': 'string' }, 'description': 'Optional tags for categorization' } }, 'required': ['memory_text'] }
• Add parameter descriptions for all inputs. Example: 'query (string, required): Search term or natural language query (1-500 chars). Supports wildcards and boolean operators.' Avoid generic names like 'type' or 'data' without context.
• Document output schemas showing what fields agents can expect. Example: 'Returns { success: boolean, memory_id: string, created_at: ISO8601, tags: string[] }'. Include pagination (limit, offset, total_count) for list tools.
• Rename ambiguous tools: 'kb_exec' → 'execute_knowledge_base_query', 'grep_knowledge_files' → 'search_knowledge_files_by_pattern'. Ensure names match verb_noun convention and convey intent without reading descriptions.