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netintel_typosquat

Generate typo and look-alike domain variations, then check which are registered to spot typosquatting and brand impersonation.

Instructions

Generate common typo and look-alike variations of a domain and check which are already registered — catches character swaps, omissions, additions, homoglyphs, and alternate TLDs so agents can detect typosquatting and brand-impersonation…

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.61

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the generation strategy and that a registration check occurs, but says nothing about rate limits, whether the check hits live DNS/WHOIS, permissions, or whether results are capped. Partial coverage only.

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?

A single front-loaded sentence that leads with the core action and then enumerates the variation types efficiently. Minor deduction for the trailing ellipsis, which suggests truncation and leaves the sentence looking unfinished.

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

Completeness3/5

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

For a tool with no annotations, no output schema, and 0% parameter documentation, the description should do more. It explains the mechanism well but omits return shape (e.g., whether registered/unregistered variants are listed) and the undocumented "limit" parameter, leaving the agent to guess at invocation details.

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

Parameters2/5

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 "domain" parameter is implicitly covered by "of a domain," but the "limit" parameter is never mentioned or explained anywhere, leaving half the inputs undocumented.

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?

States a specific verb and resource: it generates typo/look-alike domain variants and checks registration status, with concrete enumeration of variation types (swaps, omissions, additions, homoglyphs, alternate TLDs). This is clearly distinguishable from generic siblings like netintel_domain_availability or netintel_name_gen, though it never names a sibling to route against.

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?

Usage is only implied via the stated goal ("so agents can detect typosquatting and brand-impersonation"). There is no explicit when-to-use vs. when-not, and no named alternative such as netintel_domain_vet or netintel_bulk_domain, which an agent might reasonably confuse it with.

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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