Five tools with complete schemas and descriptions. Naming is clear and verb-driven (audit_url, generate_llms_txt, list_rules, list_ai_bots, compare_urls). Descriptions are substantive (100 - 200 chars), explaining what each tool does and when to use it. All parameters have types and descriptions. Output schemas are documented in code. Error handling uses toolError() wrapper. Main gaps: no enum constraints on category/only/ignore parameters; no explicit pagination guidance for list_rules and list_ai_bots; descriptions could mention prerequisites or dependencies more explicitly.

• Add enum constraints to category parameter: document valid categories (e.g., 'ai-crawler', 'llms-txt', 'structured-data', 'citability', 'technical') so LLMs pick from known values.
• Document output schemas explicitly for list_rules and list_ai_bots in tool descriptions or code comments. State what fields each rule/bot object contains.
• Add pagination support to list_rules and list_ai_bots: include limit (default 50, max 100) and offset parameters; return total count and has_more flag.
• Enhance descriptions with dependency hints: 'Call list_rules() first to see available rule IDs before using the only/ignore parameters.' Similar guidance for list_ai_bots.
• Specify timeout bounds in parameter descriptions: 'per-request fetch timeout in ms (100 - 60000, default 10000)' to prevent LLMs from passing extreme values.