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OrtaMarco

domain-security-mcp-server

by OrtaMarco

CAA Record Check

caa_check
Read-onlyIdempotent

Check which Certificate Authorities are authorized to issue TLS certificates for a domain by querying its CAA DNS records.

Instructions

Check a domain's CAA (Certification Authority Authorization) records — which CAs are allowed to issue TLS certificates for it. Absence means any CA may issue.

Args:

  • domain (string): the domain to check.

  • response_format ('markdown' | 'json'): output format (default 'markdown').

Returns: { found, issue[], issuewild[], iodef[] }.

Example: "Which CAs can issue certs for google.com?" -> caa_check(domain="google.com").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to query, e.g. 'example.com'.
response_formatNoOutput format: 'markdown' for a human-readable summary (default) or 'json' for the full structured payload.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes
foundYes
issueYes
issuewildYes
iodefYes
Behavior4/5

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

Annotations already declare the tool as read-only and idempotent. The description adds context by explaining what the absence of CAA records means (any CA may issue). This enhances transparency beyond the annotations.

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 highly concise with a clear structure: main purpose sentence, Args section, Returns section, and Example. Every sentence is informative and no unnecessary 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?

With only two parameters and an output schema, the description covers the tool's purpose, parameters, return values, and provides an example. It is complete for the tool's complexity.

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 the description's parameter info is redundant. The example usage adds some value but does not significantly enhance semantic understanding beyond the schema.

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 clearly states the tool checks a domain's CAA records, specifying what CAA records are and their significance. It uses specific verb and resource, and distinguishes from sibling tools by focusing specifically on CAA, a different DNS record type.

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?

The example provides a concrete use case, but the description lacks explicit guidance on when not to use this tool or which sibling tools to consider instead. It does not contrast with generic DNS lookup or other security checks.

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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