awesome-gsc-mcp demonstrates solid fundamentals with consistent naming, clear descriptions, and explicit schemas across 20 tools. All tools use action verbs (inspect_, find_, get_, list_, analyze_, etc.) and include detailed parameter descriptions matching the 54-pattern baseline. However, output schemas are inferred from code rather than explicitly documented in tool registration, and several tools lack explicit validation/error handling documentation. Tool compositions are well-designed with appropriate parameter chaining (siteUrl appears across tools enabling composition). The server follows the chat-data-model well by accepting human-friendly site URLs (https://example.com) rather than opaque IDs. Main gaps: (1) output schema documentation not visible in the registration layer, callers must infer structure from code; (2) error handling descriptions sparse in tool definitions themselves; (3) tool annotations (readOnlyHint, destructiveHint) absent from MCP registration despite all tools being READ_ONLY. Average tool score: 72/100.

• Add explicit output schema definitions to all tool registrations. For inspect_url, include the IndexStatusResult, MobileUsabilityResult, and RichResultsResult shapes in the tool's outputSchema (if supported) or document return structure in the description: 'Returns an object with keys: inspectionResultLink, indexStatusResult {verdict, coverageState, ...}, mobileUsabilityResult {verdict, issues [...]}, richResultsResult {...}'
• Add readOnlyHint: true to all 20 tool definitions. This signals to MCP clients that these tools are safe to call without confirmation, improving user experience and agent efficiency.
• Enhance tool descriptions with explicit error guidance. E.g., 'If the site URL is invalid or inaccessible, returns an error with a recovery hint. Try list_sites() to confirm the exact GSC site URL format (https://example.com or sc-domain:example.com).'
• Document pagination in get_search_analytics, get_top_pages, get_top_queries. Add: 'Results are limited to rowLimit rows (default 1000). To fetch additional results, call again with adjusted filters or date ranges. There is no cursor-based pagination; results are deterministic and can be offset via filtering.'
• Clarify response pruning in tool descriptions. E.g., get_search_analytics: 'Returns analytics data with dimensions (query, page, date, etc.) and metrics (clicks, impressions, ctr, position). Some GSC API metadata is omitted for brevity; the response is optimized for LLM consumption.'
• Consider adding batch variants for tools commonly called in loops (e.g., a single inspect_urls_batch variant already exists, but the inverse, checking many sites in one call, may be valuable).