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Agent Data Tools: Company, compliance and checks

Domain DNS, registration age and email authentication

domain
Read-only

Domain intelligence in one call: DNS records (A, AAAA, CNAME, MX, NS, TXT, CAA), DNSSEC status, registrar, registration and expiry dates with domain age in days (RDAP/WHOIS), and email authentication (SPF and DMARC records and policies, whether the domain accepts mail). Use for lead qualification, phishing and trust checks, and deliverability audits. Example: name=cloudflare.com. Price $0.005/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDomain name, e.g. cloudflare.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered; the description usefully adds cost behavior ($0.005/call, first 25 free, failed calls free) and the important non-obvious fact that repeats are re-charged rather than cached, which is consistent with idempotentHint=false. It stops short of describing rate limits or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the capability list before the pricing tail, and every sentence adds something an agent needs (scope, use cases, example, cost, read-only). The single dense first sentence is long but not padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of describing returns, and it does so by enumerating the record types, DNSSEC, registrar/dates and SPF/DMARC findings. The only gap is the response structure/field naming, which an agent would have to discover at call time.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single 'name' parameter, and the description's 'name=cloudflare.com' example merely restates what the schema already says. Baseline 3 is appropriate since the schema carries all parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource (a domain) and enumerates exactly what is returned: DNS record types, DNSSEC status, registrar, registration/expiry dates with age, and SPF/DMARC. That is far more informative than the title alone. It does not, however, differentiate itself from the sibling domain_report, which an agent could easily confuse it with.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives concrete usage contexts (lead qualification, phishing/trust checks, deliverability audits) and a worked example (name=cloudflare.com), so an agent knows when the tool fits. It offers no when-not guidance and never names the sibling domain_report as an alternative, so the routing decision is only partly closed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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