Skip to main content
Glama

domain_brand_protection

Read-only

Brand-protection typosquat scan (bundle) — One call to find look-alike / typosquat domains impersonating a brand: generates common misspellings, character swaps, homoglyphs and alternate TLDs of your domain, checks which are actually registered/live via DNS, and flags those configured for mail (phishing-capable) — with a threat verdict. For brand & security teams. JSON. Price: $0.15 USDC (Base, via x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tldsNooptional comma-separated extra TLDs to test, e.g. 'shop,app'
domainYesyour brand's domain, e.g. example.com

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Given readOnlyHint and destructiveHint already cover safety, the description adds substantial operational behavior: it generates candidate domains, checks DNS liveness, detects mail-configured domains, and returns a threat verdict. It also discloses the JSON output format and the $0.15 price, which is useful non-obvious context.

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?

The description is a compact, front-loaded block that moves from purpose to process to audience/output/pricing. The opening phrase repeats the title, but the rest of the text is dense and every clause adds information; no significant filler.

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?

With just one required parameter, no output schema, and clear annotations, this description supplies the essential call context: what the tool returns (JSON with threat verdict), what behaviors occur, who should use it, and cost. An agent has enough information to decide to call and to interpret the response at a high level.

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%, and the schema already documents domain as the brand domain and tlds as an optional comma-separated extra list with an example. The description only restates the concept of alternate TLDs and does not add new parameter-level meaning, so the baseline of 3 applies.

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 names a specific action—scanning for typosquat/look-alike domains impersonating a brand—and details the process (misspellings, swaps, homoglyphs, TLDs, DNS checks, mail flags, threat verdict). This is clearly distinguishable from siblings such as dns_lookup or domain_due_diligence because it scopes to brand-protection typosquatting.

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 explicitly says this is for brand and security teams and frames the tool as a one-call bundle, making the primary use case obvious. It does not name alternative tools or state when not to use it, so it stops short of full when/when-not guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation2/5

Many tools are clearly separated by prefix and data source, but several bundled products overlap heavily: vehicle_deal_check vs vehicle_report, realestate_property_report vs realestate_site_risk, finance_company_360 vs finance_health_scan, and domain_due_diligence vs email_domain_check/business_vet. An agent would frequently struggle to pick the correct premium bundle.

Naming Consistency4/5

Tool names overwhelmingly follow a consistent snake_case category-prefix pattern like weather_, crypto_, vehicle_, finance_, and geo_. Minor deviations such as bare names (domain, ip) and noun-verb forms (dns_lookup, url_check) are easy to learn and don't create real confusion.

Tool Count2/5

50 tools is far beyond the typical well-scoped 3–15 range and will require heavy filtering to navigate. The broad multi-domain data marketplace partially justifies the size, but it would be more coherent split into per-domain servers or consolidated further.

Completeness4/5

For a read-only data/diligence marketplace, the surface is quite comprehensive: weather, vehicle, crypto, SEC/finance, domain/email, sanctions, and geo workflows all have core operations plus fused verdict bundles. Minor gaps exist—such as a simple crypto price lookup or vehicle market value—but agents can usually work around them.

Resources