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check_tlsrpt

Read-onlyIdempotent

Check whether a domain has SMTP TLS Reporting (TLS-RPT) configured. Queries _smtp._tls. for the v=TLSRPTv1 record and validates its reporting destination (rua= mailto:/https:), flagging a missing record, duplicate records, or an invalid/absent reporting URI. Complements MTA-STS by giving visibility into TLS delivery failures. Part of the scan_domain audit.

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_tlsrpt"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYesDomain, e.g. example.com
formatNoOutput verbosity.
force_refreshNoBypass the cache.

Output Schema

NameRequiredDescriptionDefault
scoreYes
passedYes
partialNo
categoryYes
findingsYes
checkStatusNo
verdictWithheldNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / domain / description
      Previous value: -"Domain to check (e.g., example.com)"New value: +"Domain, e.g. example.com"
    • changedInput schema / properties / force_refresh / description
      Previous value: -"Bypass cache and run a fresh check. Useful after DNS changes."New value: +"Bypass the cache."
    • changedInput schema / properties / format / description
      Previous value: -"Output verbosity. Auto-detected if omitted."New value: +"Output verbosity."
  2. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  3. Changed1 schema field changed
    • addedOutput schema / properties / verdictWithheld
      Added value: +{
      +  "type": "boolean"
      +}
  4. Changed2 schema fields changed
    • addedOutput schema / properties / checkStatus
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / partial
      Added value: +{
      +  "type": "boolean"
      +}
  5. 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"
      +}
  6. 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"
      +}
  7. 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, openWorld, idempotent, and non-destructive, so the safety profile is covered. The description adds genuine behavioral value by disclosing the validation logic and the specific failure conditions it flags: missing record, duplicate records, and invalid or absent rua= reporting URI.

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 tight sentences: what it checks, how it validates and what it flags, then how it relates to siblings. The core purpose is front-loaded and no sentence is filler.

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?

For a single-domain read-only checker with a full output schema, everything an agent needs is present: the exact record queried, the validation criteria, the failure modes reported, and its place in the broader audit flow.

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 domain, format, and force_refresh are already documented in the schema. The description adds nothing about parameter meaning or behavior (e.g., what 'compact' omits or when the cache is bypassed), so 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?

The description names a specific verb and resource ('Check whether a domain has SMTP TLS Reporting (TLS-RPT) configured'), gives the exact DNS query target (_smtp._tls.<domain> for the v=TLSRPTv1 record), and explicitly positions it relative to a sibling ('Complements MTA-STS'). An agent can distinguish it from check_mta_sts or scan_domain without opening any schema.

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?

It states the context clearly: use it for TLS delivery-failure visibility alongside MTA-STS, or as part of the scan_domain audit. It does not give explicit exclusions or tell the agent when to prefer scan_domain over this single check, so it stops short of full when/when-not routing.

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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