Critical failures across all dimensions. Tool definitions are inferred from a build script (scripts/build_skills.py) that generates skill markdown files, not from explicit MCP tool registration. No JSON schemas visible for any tool. Descriptions exist in markdown but are not structured as MCP parameter schemas. The server appears to wrap a third-party API (BulkTranscripts) but provides no evidence of actual MCP tool registration, input validation, or output schema documentation. Parameters are mentioned in prose descriptions only, with no type information, enums, or constraints. Error handling is documented in markdown but not integrated into tool responses. This is a skill definition generator, not a functional MCP server with proper tool definitions.

• Create explicit MCP tool registration with JSON Schema input/output definitions for all 8 tools. Use proper JSON Schema with type, description, and required fields for every parameter.
• Add parameter type information and constraints: e.g., 'video_id' (string, pattern: ^[a-zA-Z0-9_-]{11}$), 'format' (enum: [text, segments, srt, vtt, markdown]), 'limit' (integer, min: 1, max: 100).
• Document output schemas as JSON Schema objects showing all response fields, types, and nested structures. Include examples of successful responses.
• Implement server-side secret injection: read BULKTRANSCRIPTS_API_KEY from environment at startup, do not expose it as a tool parameter. Validate API key presence before tool execution.
• Add error handling that returns structured error objects with error codes, user-friendly messages, and recovery guidance (e.g., 'rate_limited: Try again in 60 seconds' or 'invalid_api_key: Check BULKTRANSCRIPTS_API_KEY environment variable').