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check_dmarc

Read-onlyIdempotent

Look up and validate a domain's DMARC record to identify enforcement level, alignment mode, and aggregate/forensic reporting destinations. Use to assess email spoofing protection.

Instructions

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
categoryYes
findingsYes
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and nondestructive nature, so description adds only the context of being part of scan_domain audit. No contradictions or additional behavioral disclosure is needed.

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?

Three sentences: first explains purpose and output, second states usage and differentiators, third notes it's part of scan_domain. Front-loaded and efficient with no wasted words.

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?

Given that the output schema exists (not shown but referenced), the description covers inputs, outputs, usage context, and sibling differentiation. Tool complexity is moderate and description fully addresses it.

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 provides 100% coverage with descriptions for all three parameters. Description does not add significant meaning beyond what the schema offers, so baseline score of 3 is appropriate.

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?

Description clearly states the tool looks up and validates DMARC records, specifies the information shown (enforcement level, alignment, reporting destinations), and distinguishes from two sibling tools by name.

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?

Explicitly says 'Use to determine a domain's DMARC enforcement level, whether it sends aggregate reports, or if it is protected against email impersonation' and contrasts with check_shadow_domains and assess_spoofability, providing clear when-to-use 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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