domain-intelligence__whois_lookup
[Domain Intelligence] 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 |
[Domain Intelligence] 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 convey readOnlyHint and openWorldHint. The description adds that it returns specific fields (registrar, dates, nameservers), which is useful. However, it does not disclose error conditions, rate limits, or validity requirements beyond the domain format example.
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?
Two sentences plus an Args line, no fluff. Every sentence adds value: purpose, returned fields, parameter format. Front-loaded with the action verb.
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?
Given no output schema, the description partially explains return values but omits details like date types (creation, expiration) and nameserver format. Sibling tools are not referenced for comparison, leaving the agent to infer context.
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?
With schema description coverage at 0%, the description compensates by explaining the 'domain' parameter with a format example (e.g., 'example.com'). This adds meaning beyond the raw schema. Could be improved by specifying acceptable TLDs or that the domain should be registrable.
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 it looks up WHOIS information for a domain and lists returned fields (registrar, dates, nameservers). This distinguishes it from domain-intelligence siblings like dns_lookup and ip_geolocation, but does not differentiate from seo-web-analysis__lookup_whois which may be identical.
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?
No guidance on when to use this tool versus alternatives, no prerequisites or exclusions. Siblings like dns_lookup and ssl_check exist but no comparison is provided.
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.
Many tools have overlapping functionality across categories (e.g., multiple search_arxiv, search_google_scholar, real estate tools, DNS/WHOIS checks). An agent would struggle to differentiate between similar tools from different categories, leading to ambiguity.
Tools follow a 'category__verb_noun' pattern mostly, but verbs vary (get, search, screen, check, etc.) and some categories use different orders (e.g., 'get_repo_stats' vs 'search_repos'). The consistency is acceptable but not uniform across the entire set.
With 152 tools, the server is excessively large for a single MCP server. While it aims to be an all-in-one gateway, the sheer number overwhelms the agent and likely exceeds practical limits for coherent selection.
The server covers a wide range of domains (finance, real estate, news, developer tools, etc.) but has notable gaps (e.g., social media APIs, CRM tools). Coverage is broad but not exhaustive, and some niche areas (e.g., global stock exchanges) are over-represented.