This server demonstrates solid tool definition quality with comprehensive schemas, detailed descriptions, and clear parameter documentation. All 4 tools have proper input schemas with type definitions and descriptions. Tool names follow verb_noun convention (get_*, lookup_*). Descriptions are substantive (150-350 chars, within baseline 194 char average) and explain WHAT the tool does, WHEN to use it, and key parameters. Parameters uniformly include descriptions and type constraints. However, output schemas are not explicitly documented in the visible code, only inferred from API documentation quoted in descriptions. Error handling is mentioned in descriptions (e.g., 'returns 401 on free plans') but recovery guidance is limited. No per-tool success/failure structure for batch operations. Tool annotations (toolAnnotations=true) are declared but not visible in source snippets provided. Overall, this is a well-crafted server that would benefit from explicit output schema documentation and richer error recovery patterns.

• Add explicit output schema documentation to each tool. Document all returned fields, their types, and presence (required vs optional). Example: '{ "ip": string, "abuse": { "emails": string[], "organization": string, ... } }' in tool metadata or README.
• Upgrade lat/long/elevation/asn parameters to appropriate JSON Schema types: number for coordinates, integer for elevation and ASN. This enables type-aware schema validation and clearer LLM reasoning.
• Enhance error handling descriptions with recovery guidance. Example: 'Returns 401 on free plans, upgrade to paid plan or use a free endpoint like lookup_ip instead.' This guides agents toward actionable next steps.
• Add MRTR (Multi Round-Trip Request) support for complex queries that may require user confirmation, such as confirming a high-credit-cost force_refresh or disambiguating an IP between multiple ASNs.
• Document result limits and pagination strategy. If lookup_asn results include a total count or next_cursor, expose limit/offset parameters in the tool so agents can control batch sizes.
• Consider adding a batch_lookup_ip or bulk_lookup_asn tool for agents that need to enrich multiple IPs or ASNs in one call. This reduces token waste and latency.
• Add tool annotations via 'annotations' field if not already present: readOnlyHint=true on all get_* and lookup_* tools to signal to agents that these calls are safe to retry without side effects.
• Include example input/output pairs in documentation or README to help agents understand expected field names and types before their first call.