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Check DMARC record

check_dmarc
Read-onlyIdempotent

Read-only fetch and parse of the _dmarc TXT record. Returns parsed tag map (p, sp, rua, ruf, adkim, aspf, pct, fo), policy strength assessment, alignment mode, and warnings (missing rua, p=none, weak alignment, multiple records). Use for DMARC policy review; use check_sender_requirements for combined Google/Yahoo SPF+DKIM+DMARC pass/fail verdict. Single GET, no auth, no side effects.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "domain": "<domain>"
    },
    "name": "check_dmarc"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYesDomain name only, e.g. example.com (no URL, path, or port)

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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, so the safety profile is covered. The description still adds value by enumerating what is returned (parsed tag map, policy strength assessment, alignment mode, warnings like missing rua or multiple records) and confirming 'single GET, no auth, no side effects' — useful operational context beyond the hints.

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 dense, front-loaded sentences: operation, return payload, routing alternative, and operational constraints. No filler and the highest-value scoping information comes first.

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 no output schema and only one parameter, the description compensates by spelling out the returned structure and warning conditions, plus the no-auth/no-side-effect nature. An agent has everything needed to select and call it 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 coverage is 100% and the single 'domain' parameter is documented with a good example and format constraint (no URL/path/port). The description adds no parameter-level detail beyond the schema, so the baseline 3 applies — the schema does the work.

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 ('fetch and parse') and resource ('_dmarc TXT record') with a clear read-only scope. It is clearly distinguishable from siblings like generate_dmarc (writes records) and parse_dmarc_report (consumes RUA reports) because it names what it returns and which sibling handles the adjacent job.

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?

Explicitly routes the agent: 'Use for DMARC policy review; use check_sender_requirements for combined Google/Yahoo SPF+DKIM+DMARC pass/fail verdict.' That is a concrete alternative with a selecting condition. It does not explicitly exclude generate_dmarc or parse_dmarc_report, but the primary routing decision is covered.

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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