whois_lookup
Look up WHOIS information for a domain. Returns registrar, dates, nameservers. Args: domain: Domain name (e.g. 'example.com')
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Look up WHOIS information for a domain. Returns registrar, dates, nameservers. Args: domain: Domain name (e.g. 'example.com')
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds that it returns registrar, dates, and nameservers, providing some context beyond the annotations. However, it does not disclose potential error behavior, data freshness, or external dependencies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise: two sentences for the main purpose and return fields, plus a clear argument explanation. Every sentence adds value, and the structure is front-loaded with the primary action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one parameter and no output schema, the description is complete. It states what the tool does, what it returns, and the required argument, without unnecessary detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description includes an Args section explaining the 'domain' parameter with an example ('example.com'). This compensates for the schema's lack of detail, giving the agent clear guidance on the expected input.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool looks up WHOIS information for a domain, with a specific verb and resource. This distinguishes it from sibling tools like dns_lookup, ip_geolocation, and ssl_check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied but not explicit. The description says what the tool does but does not mention when to use it or provide alternatives or exclusions. Sibling differentiation is evident from the tool name and description, but no direct guidance is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action: DNS records, IP geolocation, SSL certificate, and WHOIS data. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern (dns_lookup, ip_geolocation, ssl_check, whois_lookup). The naming is predictable and clear.
With 4 tools, the server is well-scoped for a domain intelligence purpose. Each tool addresses a fundamental lookup type, and the count is appropriate without being excessive or thin.
The surface covers the essential domain/IP lookups: DNS, IP geolocation, SSL, and WHOIS. Minor gaps exist, such as reverse DNS or subdomain enumeration, but these are not critical for basic domain intelligence.