Server has 9 tools with basic naming and descriptions, but critical gaps in schema completeness and parameter documentation. Tool names follow verb_noun convention (list_, get_, compare_) which is good. However, input schemas visible in the rubric show parameters lack detailed descriptions, e.g., 'channel_id' has description 'The YouTube channel ID' (18 chars, below 20-char floor). Most parameter descriptions are minimal (10-20 chars), failing the 50-200 char LLM-optimized baseline. No output schemas documented anywhere in source. Error handling and recovery guidance absent. Tool definitions appear to use goMCP.AddTool() with minimal schema info, actual schema details inferred from the rubric input, not visible in source code, triggering the inference cap rule.

• Add explicit InputSchema to each tool registration in pkg/mcp/server.go. Use goMCP.Tool.InputSchema with full JSON Schema including type, description, enum, and constraints for every parameter.
• Expand parameter descriptions to 50-200 chars. Example: 'channel_id' → 'The YouTube channel ID (alphanumeric string, e.g. UCddiUEpYJcSF5fLW3V1p1Rg). Required to fetch analytics.'
• Document output schemas for each tool. Define return type as JSON Schema with fields, types, and descriptions. E.g., list_channels returns array of {id, title, subscribers, videoCount, viewCount}.
• Add error handling with recovery guidance. Catch API errors and return structured errors: {error: 'Channel not found', suggestion: 'Try list_channels() to find valid channel IDs', retryable: false}.
• Add tool annotations (readOnlyHint: true) to all tools in the Tool struct to signal to agents that these are safe to retry and do not modify state.