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Domain Full Profile

dns_profile
Read-onlyIdempotent

Complete DNS + WHOIS + security + hosting + email-infrastructure + subdomain-probe + health-verdict picture in one call. Sales-intel and security-audit workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes
skip_whoisNo
skip_subdomainsNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish the tool as read-only, idempotent, and non-destructive. The description adds behavioral context beyond that by disclosing that the tool performs subdomain probing and produces a health verdict, which implies active enumeration and synthesized judgment. It does not mention latency or cost, but it provides meaningful disclosure of the tool's composite behavior.

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

Conciseness5/5

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

One dense, front-loaded sentence communicates the full scope and workflows with no filler. Every element earns its place.

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?

For a three-parameter composite tool with no output schema, the description provides sufficient context for an agent to select and invoke it correctly. It enumerates all major data domains and gives workflow context. The main gap is the lack of explicit treatment of the skip parameters and the exact nature of the health verdict, but this does not critically impair usage.

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 0%, so the description must compensate. The required 'domain' parameter is self-evident, and 'skip_whois' and 'skip_subdomains' are reasonably inferable from their names and from the WHOIS/subdomain-probe components mentioned in the description. However, the description does not explain how skipping affects the overall profile or health verdict, leaving some ambiguity.

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

Purpose5/5

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

The description clearly states the tool produces a comprehensive DNS + WHOIS + security + hosting + email-infrastructure + subdomain-probe + health-verdict profile for a domain in one call. This distinguishes it from narrower sibling tools like dns_lookup, dns_whois, and dns_reputation.

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?

The description identifies concrete workflows ('Sales-intel and security-audit workflow') and emphasizes 'one call', clearly implying this tool is for broad investigative use cases rather than single-aspect DNS queries. It does not explicitly name alternative tools or exclusion conditions, but the use context is clear.

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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TDQS

B3.2/5.0
Disambiguation2/5

Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.

Naming Consistency4/5

All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).

Tool Count1/5

129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.

Completeness4/5

Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.

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