The server provides 7 well-structured tools with consistent naming patterns, detailed descriptions, and complete JSON Schema definitions. All tools use action verbs (ip_lookup, shodan_search, cve_lookup, etc.) and descriptions range from 200-400 characters, meeting the production baseline. Input parameters are fully typed with descriptions. However, output schemas are not explicitly documented in the source, only inferred from API responses. No parameter enums are declared, leaving room for input validation improvement. Error handling is present but generic (UserError wrapping). The cves_by_product tool shows good composition with multiple filter options and pagination support.

• Add explicit output schema definitions to each tool's registration, documenting the structure of paginated results (total, items, next_cursor if applicable) and key fields returned (e.g., for ip_lookup: {ip, ports, services, hostnames, ssl_info}).
• Convert boolean and date parameters to properly typed JSON Schema with format constraints. For example, 'start_date' and 'end_date' should declare format: 'date-time' with example '2024-01-15T00:00:00Z'.
• Enhance error messages to include actionable recovery hints. Example: throw new UserError(`Invalid CVE format: ${cveId}. Expected format: CVE-YYYY-NNNNN (e.g., CVE-2024-1234).`)
• Document mutual exclusivity in cves_by_product: 'Provide either cpe23 or product (not both). If searching by product name, call cpe_lookup() first to get the CPE identifier for more precise filtering.'
• Add parameter constraints for max_results (shodan_search) and limit (cpe_lookup, cves_by_product). For example, limit should be bounded 1 - 1000 with a clear description: 'Maximum 1000 results per query. For larger datasets, use skip for pagination.'
• Implement proper input validation before making API calls. Validate CVE ID format with the regex pattern, reject invalid date formats, and validate IP addresses in reverse_dns_lookup with a clear error message.