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web.domain-intelligence

Read-onlyIdempotent

Investigate a domain using parallel DNS, TLS certificate, RDAP (the standards-based successor to WHOIS), DNSSEC, SPF, and DMARC signals with factual findings and source provenance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured Domain intelligence result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds behavioral context by mentioning 'parallel' processing and 'factual findings with source provenance', which tells the agent that output will be factual and sourced, and that the tool aggregates signals concurrently. No contradictions with annotations.

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?

The entire description is a single sentence (under 40 words) that front-loads the core action ('Investigate a domain') and efficiently lists signals and output characteristics. Every phrase earns its place with no redundancy.

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

Completeness5/5

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

Despite the tool's multi-signal complexity, the description gives a high-level complete picture: it states the input domain, the types of lookups (DNS, TLS, RDAP, DNSSEC, SPF, DMARC), and the nature of results (factual with provenance). The presence of an output schema covers detailed return structures, so the description doesn't need to enumerate them.

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?

The schema provides only the parameter name 'url' with format uri; the description clarifies that it investigates a 'domain', which gives some semantic meaning. However, the tool does not explain whether the url parameter accepts a bare domain or requires a full URI scheme, and the mismatch between 'domain' and 'url' leaves ambiguity. Since the schema description coverage is 0%, the description provides limited compensation beyond the name.

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 investigates a domain using a specific set of signals (DNS, TLS certificate, RDAP, DNSSEC, SPF, DMARC) and emphasizes 'factual findings and source provenance'. This is a specific verb+resource+scope that differentiates it from siblings like web.email-auth or web.security-audit by naming the exact signal set and provenance feature.

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

Usage Guidelines3/5

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

The description implies usage when domain intelligence across multiple signals is needed, but it does not explicitly state when to prefer this tool over alternatives such as web.email-auth (which covers SPF/DMARC) or web.security-audit. There are no direct exclusions or alternative tool names, so usage context is only implied.

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

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources