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Mailchimp MCP

create_merge_field

Create a custom merge field in a Mailchimp audience to store additional member data. Choose from text, number, address, or other types, and set tag, required status, and default value.

Instructions

Create a new custom merge field in an audience for storing additional member data.

Use to add custom data fields beyond the defaults (FNAME, LNAME, ADDRESS, PHONE). Once created, populate per-member via add_member/update_member using the tag name. The type cannot be changed after creation. Use list_merge_fields to check existing fields first.

Authenticated via API key. Subject to Mailchimp API rate limits (max 10 concurrent requests). Respects read-only and dry-run modes.

Args: list_id: The Mailchimp audience/list ID (e.g. 'abc123def4'). Obtain from list_audiences. name: Display name for the field (e.g. 'Company Name'). type: Field data type. Valid values: 'text', 'number', 'address', 'date', 'birthday', 'phone', 'url', 'imageurl', 'zip', 'dropdown', 'radio'. Cannot be changed after creation. tag: Short uppercase tag name (e.g. 'COMPANY'). Max 10 characters, letters and numbers only. Auto-generated from name if omitted. Used as |TAG| in email content. required: Whether the field is required when subscribing (default false). default_value: Default value for new subscribers. choices: Comma-separated choices for 'dropdown' or 'radio' types (e.g. 'Small,Medium,Large'). Required when type is 'dropdown' or 'radio'. Ignored for other types.

Returns: JSON with fields: merge_id (int, for update/delete), tag (string), name, type, required.

Example: create_merge_field(list_id="abc123", name="Company", type="text", tag="COMPANY") -> {"merge_id": 5, "tag": "COMPANY", "name": "Company", "type": "text", ...}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
nameYes
typeYes
tagNo
requiredNo
default_valueNo
choicesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Adds behavioral context beyond annotations (none provided), including authentication via API key, rate limits (10 concurrent), read-only/dry-run mode support, and the immutability of the 'type' field. Could mention error handling but is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with purpose, usage, args, returns, and example. Front-loaded with key info. Args section is slightly verbose but still efficient. A model of good description structure.

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

Completeness4/5

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

Covers all essential inputs and outputs, including an example. Mentions that merge_id is returned for later updates/deletes. Could mention potential errors like duplicate tags or validation issues, but is comprehensive for a creation tool.

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

Parameters5/5

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

Schema has 0% description coverage, but the description provides detailed explanations for all 7 parameters, including constraints (tag max 10 chars, choices required for dropdown/radio), valid values, and examples. Fully compensates for missing schema descriptions.

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 'create', the resource 'custom merge field in an audience', and distinguishes it from siblings by mentioning 'beyond the defaults' and referencing list_merge_fields for checking existing fields.

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?

Provides explicit guidance on when to use (for custom data beyond defaults), how to populate after creation via add_member/update_member, and a prerequisite (check existing fields with list_merge_fields). Does not explicitly state when not to use but covers key context.

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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