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EmailMCP

setup_autonomous_security

Auto-configure DKIM, SPF, and DMARC for autonomous email. Generates DKIM keys, creates DNS records, and outputs everything needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipv4YesYour dedicated IPv4 address
domainYesYour email domain
dmarc_policyNoDMARC policy (default: reject)
dkim_selectorNoDKIM selector (default: emailmcp)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

The description discloses key behaviors: 'Generates DKIM keys, creates DNS records, and outputs everything needed.' However, it does not disclose potential side effects such as overwriting existing DNS records, permission requirements, or reversibility. With no annotations provided, the description carries the full burden, and while it covers main actions, it omits important behavioral context.

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 two concise sentences, front-loaded with the main purpose: 'Auto-configure DKIM, SPF, and DMARC for autonomous email.' The second sentence adds concrete actions without redundancy, earning its place. No filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex setup tool with no output schema and no annotations, the description gives a good high-level overview but lacks details about the output format ('outputs everything needed' is vague), potential side effects (e.g., whether DNS records are automatically added to the zone), and how it fits with sibling tools like verify_autonomous_setup. The description is adequate but not fully complete.

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 input schema already documents all four parameters (domain, ipv4, dmarc_policy, dkim_selector). The description does not add any parameter-specific meaning beyond what the schema provides. Per the rubric, baseline is 3 for high schema coverage, and this description neither improves nor undermines parameter understanding.

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's function: 'Auto-configure DKIM, SPF, and DMARC for autonomous email.' It uses a specific verb ('auto-configure') and identifies the resource (email authentication protocols). It distinguishes from siblings like verify_autonomous_setup (verification vs. setup) and add_sending_domain (domain addition vs. authentication setup).

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 description implies usage for initial setup of email authentication, but does not explicitly state when to use it vs. alternatives, nor does it mention exclusions or prerequisites. There is no reference to sister tools like verify_autonomous_setup, which would clarify the setup-verify workflow. Thus, usage guidance is implied but not explicit.

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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