8 tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. All tools have names starting with action verbs (get_, post_) and descriptions present, but descriptions are generic (avg ~60 chars, below 194-char baseline). Most parameters lack detailed constraints, format guidance, or dependency documentation. No output schemas documented. Error handling is minimal, tools return raw API errors without recovery guidance. Tool composition is reasonable (single responsibility), but parameter descriptions are sparse and do not explain expected formats, ranges, or valid values.

• Document output schemas for all tools. Specify returned fields, types, and structure. E.g., 'Returns {traffic: number, trend: string, sources: [{name, percent}], timestamp: ISO8601}'. This enables LLMs to chain tools and extract data correctly.
• Add enums and format constraints to parameters. Replace 'The language for the search results' with 'Language code (ISO 639-1: en, de, fr, es, it, pt, nl, pl, ru, ja, zh, ko, etc.)'. Replace 'location' with 'Geographic location (e.g., US, GB, DE, or city-country format)' and provide valid examples.
• Expand tool descriptions to 100-200 chars. Include WHAT the tool does, WHEN to use it, and WHAT it returns. E.g., 'Retrieve organic search traffic volume and trends for a domain. Use this to assess SEO performance and identify traffic opportunities. Returns traffic volume, trend direction, and traffic sources.'
• Implement error recovery guidance in the CallToolRequestSchema handler. Catch specific error types (404, 429, 5xx) and return actionable messages: 'Domain not found. Verify the URL is correct and try again.' or 'Rate limit exceeded. Wait 60 seconds before retrying.'
• Add pagination parameters (limit, offset/cursor) to list-returning tools (get_backlinks, get_keyword_statistics, get_serp). Document max result limits and default page sizes. Return total_count or next_cursor in responses to enable multi-page iteration.