Skip to main content
Glama

BlackVeil DNS & Email Security Scanner

check_dmarc

Read-onlyIdempotent

Look up and validate the DMARC record for a domain. Shows the enforcement level (none/quarantine/reject), alignment mode (strict/relaxed), and aggregate/forensic reporting destinations. Use to determine a domain's DMARC enforcement level, whether it sends aggregate reports, or if it is protected against email impersonation — distinct from check_shadow_domains (which checks TLD variants) and assess_spoofability (composite score). Part of the scan_domain audit.

Input Schema

TableJSON 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

TableJSON Schema
NameRequiredDescriptionDefault
scoreYes
passedYes
partialNo
categoryYes
findingsYes
checkStatusNo
verdictWithheldNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / verdictWithheld
      Added value: +{
      +  "type": "boolean"
      +}
  2. Changed2 schema fields changed
    • addedOutput schema / properties / checkStatus
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / partial
      Added value: +{
      +  "type": "boolean"
      +}
  3. 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"
      +}
  4. 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"
      +}
  5. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/open-world, so the safety profile is covered. The description adds that this is part of the scan_domain audit and what data is surfaced, but does not mention caching behavior implied by force_refresh or refresh latency - a modest gap for a DNS-backed lookup.

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?

Three tight sentences, front-loaded with the action and outputs before the disambiguation. The closing 'Part of the scan_domain audit' is slightly incidental but still useful context, not padding.

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?

An output schema exists so return values needn't be restated, and annotations cover the safety profile; what remains missing is any note on caching/refresh semantics tying force_refresh to real-world behavior. Otherwise the definition is sufficient to invoke the tool correctly.

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 (domain, format, force_refresh) are already documented in the schema with enum values and semantics. The description adds no parameter-level detail beyond that, so the baseline 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?

States a specific verb+resource ('look up and validate the DMARC record for a domain') and enumerates the concrete outputs (enforcement level, alignment mode, reporting destinations). It explicitly names the sibling tools it is distinct from, so an agent can route correctly without opening 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?

Gives explicit when-to-use conditions ('determine enforcement level, whether it sends aggregate reports, or if it is protected against email impersonation') and names the two nearest alternatives (check_shadow_domains, assess_spoofability) with the reason each differs. Nothing is left to inference.

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.