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BlackVeil DNS & Email Security Scanner

check_lookalikes

Read-onlyIdempotent

Detect active typosquat and lookalike/homoglyph domains that impersonate your brand and could be used in phishing. Identifies character-substitution and visual-confusion domains registered by attackers. Distinct from check_shadow_domains (TLD variants with auth gaps) and discover_brand_domains (legitimate brand portfolio).

Input Schema

NameRequiredDescriptionDefault
domainYesDomain to check (e.g., example.com)
formatNoOutput verbosity. Auto-detected if omitted.
force_refreshNoBypass cache and run a fresh check. Useful after DNS changes.

Output Schema

NameRequiredDescriptionDefault
scoreYes
passedYes
partialNo
categoryYes
findingsYes
checkStatusNo
verdictWithheldNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed1 schema field changed
    • addedOutput schema / properties / verdictWithheld
      Added value: +{
      +  "type": "boolean"
      +}
  3. Changed2 schema fields changed
    • addedOutput schema / properties / checkStatus
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / partial
      Added value: +{
      +  "type": "boolean"
      +}
  4. Changed1 schema field changed
    • addedInput schema / properties / force_refresh
      Added value: +{
      +  "description": "Bypass cache and run a fresh check. Useful after DNS changes.",
      +  "type": "boolean"
      +}
  5. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": {},
      +  "properties": {
      +    "category": {
      +      "type": "string"
      +    },
      +    "findings": {
      +      "items": {
      +        "additionalProperties": {},
      +        "properties": {},
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "passed": {
      +      "type": "boolean"
      +    },
      +    "score": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "category",
      +    "score",
      +    "passed",
      +    "findings"
      +  ],
      +  "type": "object"
      +}
  6. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, open-world, idempotent, and non-destructive behavior, so the description does not need to restate safety. It adds useful behavioral context by clarifying that results concern active attacker-registered character-substitution and visual-confusion domains used for impersonation or phishing, though it does not discuss caching or output characteristics.

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 description is front-loaded with the core detection purpose, then briefly elaborates the threat type, then ends with useful sibling differentiation. Every sentence contributes to selection or understanding with no wasted text.

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?

The tool is a focused check with full schema coverage, rich annotations, and an output schema. The description supplies the purpose, threat model, and sibling distinctions an agent needs before invoking it, so no additional return-value explanation is necessary.

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%, so all three parameters are already documented in the schema. The description adds no parameter-specific meaning, which is acceptable at the baseline for fully documented schemas but not above it.

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 uses a specific verb and resource: detecting active typosquat, lookalike, and homoglyph domains that impersonate a brand. It also explicitly distinguishes the tool from check_shadow_domains and discover_brand_domains, so an agent can identify its role without inspecting schemas.

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

Usage Guidelines5/5

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

It names the relevant sibling alternatives and explains their distinct scopes: check_shadow_domains covers TLD variants with auth gaps, while discover_brand_domains covers legitimate portfolio discovery. Combined with the phishing-impersonation framing, this gives clear routing guidance.

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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