Three tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. Tool names lack action verbs (robots_ai_check, structured_data_check, discoverability_audit are descriptive but not verb-first). Parameter descriptions are minimal ('site URL or domain' is too vague). Output schemas are not formally documented, responses are inferred from code. Error handling is present but not actionable for LLM recovery. No tool annotations (readOnlyHint, etc.). The full_audit tool returns a stub error rather than implementing the promised functionality.

• Rename tools to verb_noun pattern: 'check_robots_policy', 'extract_structured_data', 'audit_discoverability'. This makes intent clear before the LLM reads the description.
• Expand parameter descriptions to include format, validation rules, and examples: 'url (required): Public HTTP(S) URL or domain. Format: https://example.com or example.com (auto-prefixed with https://). Must be reachable and not a private IP (127.*, 10.*, 192.168.*, 172.*).'
• Document output schemas formally in tool descriptions or as JSON Schema examples. For robots_ai_check, specify: 'Returns {robots_url, bots: {bot_name: "allowed"|"blocked"}, blocked_live_shopping_crawlers: [string], note: string}'.
• Implement discoverability_audit fully or remove it. If the hosted version is required, clearly document this as a limitation and provide a fallback or deprecation notice.
• Add tool annotations: set readOnlyHint=true for all three tools to signal they are safe to call without side effects.