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Mailchimp MCP

Mailchimp MCP

by damientilman
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

list_verified_domains

Read-only

List all sending domains verified for your Mailchimp account and check each domain's verification and authentication status.

Instructions

List all sending domains verified for use with this Mailchimp account.

Use this to discover which domains are approved as the "from" address on campaigns and to check each domain's verification and authentication state. Use get_verified_domain for the full record of a single domain.

Returns: JSON with total_items and domains array. Each domain: domain, verified (boolean), authenticated (boolean), verification_status, authentication_status.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_verified_domains"
  }
}

Input Schema

NameRequiredDescriptionDefault
accountNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.7.1

TDQS

A4/5.0
Behavior4/5

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

Annotations already signal read-only and non-destructive behavior. The description adds context about the return format (JSON with total_items and domains array) and the scope (verified domains for the account). No contradictions with 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 concise, with the main action in the first sentence, followed by usage guidance and a clear return format description. 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?

For a list operation with a single optional parameter and an output schema, the description fully covers the purpose, usage, and return format. It provides all necessary context for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one optional parameter 'account' with 0% description coverage. The tool description does not mention this parameter or its meaning, leaving the agent with no additional semantic cues beyond the schema type.

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 verb 'list' and the resource 'sending domains verified for use with this Mailchimp account'. It also distinguishes from the sibling 'get_verified_domain', which retrieves a single domain's full record.

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 explicitly states when to use this tool: to discover approved domains and check verification/authentication state. It also directs users to 'get_verified_domain' for a full record of a single domain, providing an alternative. However, it lacks an explicit 'when not to use' statement.

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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