AutoRank provides 6 well-scoped SEO tools with complete input schemas and clear descriptions. All tools are READ_ONLY and deterministic. However, output schemas are not formally documented in the code, responses are inferred from implementation. Parameter descriptions are present but minimal (avg ~40 chars). No error handling guidance, no recovery patterns, and no tool annotations. Naming is clear and verb-forward (check_*, generate_*, validate_*), following the verb_noun convention well. The server is focused and coherent, but lacks production-grade error messaging and output documentation.

• Document output schemas explicitly. For each tool, add a 'Returns' section in the docstring with field names, types, and descriptions. E.g., check_title_length returns {title: str, characters: int, estimated_pixels: int, pixel_limit: int, truncated: bool, verdict: str, note: str}.
• Add enum constraints to parameters with fixed valid values. E.g., twitter_card: enum=['summary', 'summary_large_image', 'app', 'player']; max_image_preview: enum=['none', 'standard', 'large']. Document these in parameter descriptions.
• Implement input validation with actionable error messages. E.g., if title is empty, return {error: 'Title cannot be empty', suggestion: 'Provide a non-empty page title'}. If robots.txt is malformed, return {error: 'Invalid robots.txt syntax', line: 5, issue: 'Unexpected token after User-agent'}.
• Add tool annotations via fastmcp. Mark all tools with readOnlyHint=true and idempotentHint=true so agents understand they are safe to retry and do not modify state.
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport. This enables remote accessibility and compatibility with hosted MCP clients. Use a lightweight HTTP server (e.g., FastAPI, Flask) alongside fastmcp.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry