Strong overall quality with 22 well-named tools following consistent verb_noun patterns (get_, create_, add_, etc.). Descriptions are clear and actionable (avg ~150 chars), explaining WHAT each tool does and WHEN to use it. Input schemas are comprehensive with typed parameters and defaults. However, output schemas are not explicitly documented in the code, inferred from descriptions only. Error handling is minimal (no recovery guidance or categorization visible). Security considerations are present (confirm parameters for destructive ops) but not comprehensive. The server demonstrates solid definition quality suitable for production use, though output documentation and error strategies could be stronger.

• Explicitly document output schemas for every tool. Add a 'Returns' section to each docstring defining the response structure, field types, and field descriptions. Example: 'Returns {"authenticated": bool, "user_id": str, "display_name": str, "email": str}' for check_auth_status.
• Add error recovery guidance to tool descriptions. When a tool can fail, include examples: 'If authentication fails, call check_auth_status() to troubleshoot. If you receive a 401, credentials may be expired, request the user re-authenticate via setup_auth.py.' This transforms bare errors into actionable LLM guidance.
• Convert prose parameter constraints to JSON Schema enums. Change 'Time period: short_term (Last 4 weeks), medium_term (Last 6 months, default), long_term (All time)' to an enum constraint with allowed values: ['short_term', 'medium_term', 'long_term']. This prevents hallucinated values and is machine-parseable.
• Document pagination support for all list-returning tools. Specify: (a) whether the tool supports offset/limit/cursor parameters, (b) the maximum result count, (c) how to fetch the next page. Example: 'Returns max 50 results. To get more, call with offset=50, then offset=100, etc.'
• Add dry-run or preview modes for destructive operations. For create_playlist_from_search_results and import_and_create_playlist, add an optional 'dry_run' parameter (default False). When True, return what would be created without actually creating it. This prevents accidental bulk creation from malformed input.
• Strip sensitive fields from responses. Document which fields (Spotify URIs, user IDs, tokens) are safe to return to users vs. internal-only. Implement response shaping to omit sensitive metadata (pagination cursors, rate limit headers, etc.) from LLM-facing responses.