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damientilman

Mailchimp MCP

create_merge_field

Create a custom merge field in a Mailchimp audience to store additional member data beyond default fields. Define name, type, and tag to add personalized information.

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
Behavior5/5

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

Discloses authentication via API key, rate limits (max 10 concurrent), respects read-only/dry-run modes, type immutability, auto-generation of tag, and required choices for dropdown/radio types.

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 first, then guidance, param descriptions, return info, and example. Slightly verbose but each sentence adds value; could be more concise.

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?

Covers prerequisites (list_id from list_audiences), side effects (type immutable), related tools (list_merge_fields, add_member/update_member), return structure, and an example. Complete given complexity and no annotations.

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?

With 0% schema description coverage, the description thoroughly explains all parameters: list_id (source), name (example), type (enum list and immutability), tag (auto-generation, constraints, usage), required default, default_value, and choices (required for specific types). Adds significant context beyond schema names.

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?

Clearly states it creates a custom merge field in an audience, distinguishes from siblings like list_merge_fields and update_merge_field by mentioning checking existing fields and type immutability.

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?

Explicitly tells when to use (add custom data beyond defaults), recommends checking existing fields first, and notes that type cannot be changed post-creation, guiding careful selection.

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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