This server has severe definition quality gaps. Both tools lack explicit input schemas in the visible code, both descriptions are present but one is misleading about functionality, and there is no evidence of parameter documentation, output schema definitions, or error handling guidance. Tool #1 (get_claude_md) appears to be a documentation/doctrine reader, not a traditional MCP tool. Tool #2 (library_app) is registered as a UI component via FastMCPApp, not a standard tool with callable parameters. The server relies on opaque, undocumented tool registration through fastmcp's decorator pattern, making schema verification impossible from static analysis. No evidence of input validation, error categorization, or recovery guidance.

• Define explicit JSON Schema input for both tools, even if empty parameters: include 'type: object', 'properties: {}', 'required: []'. This makes the schema visible and machine-parseable.
• Rewrite tool descriptions as declarative statements of what the tool returns and when to use it: 'Returns the YAML orchestration doctrine for managing the YouTube Music library. Call this first to understand the mental model and workflows.' for get_claude_md.
• Document the output schema for get_claude_md: e.g. 'Returns a markdown string containing the doctrine (mental model, workflows, guardrails, approval requirements, batch operations).'
• For library_app, clarify in the description whether this is a UI-only component (not callable) or an actionable tool. If callable, document the response structure and required preconditions explicitly.
• Add error handling to library_app: if no sync has been run, return a structured error with actionable guidance: '{"error": "No sync yet", "recovery": "Call the sync tool first to import the library snapshot", "retryable": false}'.
• Consider renaming get_claude_md to describe_orchestration_doctrine or similar to better signal that it is a discovery/documentation tool, not an action.
• If library_app is UI-only and not callable by LLMs, remove it from the tool list and document it separately as a client-side extension. This avoids LLM confusion about when to invoke it.