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damientilman

Mailchimp MCP

delete_merge_field

Delete a custom merge field and permanently remove all stored data from an audience. Use when the field is no longer needed; cannot delete default fields.

Instructions

Delete a custom merge field and all its stored data from an audience.

Use only when you no longer need the field. All data stored in this field for every member is permanently lost. Default fields (FNAME, LNAME, ADDRESS, PHONE) cannot be deleted and will return an error. Use list_merge_fields to find merge_id values.

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

Args: list_id: The Mailchimp audience/list ID (e.g. 'abc123def4'). Obtain from list_audiences. merge_id: The merge field ID to delete (numeric string). Obtain from list_merge_fields. Cannot be a default field.

Returns: JSON with fields: status ("deleted"), merge_id. Returns error if the field is a default field or does not exist.

Example: delete_merge_field(list_id="abc123", merge_id="5") -> {"status": "deleted", "merge_id": "5"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
merge_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

The description discloses irreversibility, permanent data loss, authentication method, rate limits, and dry-run compliance. It also notes that default fields will return an error. Since no annotations are provided, the description fully covers behavioral aspects.

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 well-structured with a clear purpose, usage context, parameter details, return info, and an example. It is front-loaded and concise, with no superfluous information.

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?

The description covers prerequisites, error cases, return format, and provides an example. It is fully self-contained and answers likely questions an AI agent would have when invoking this 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?

With 0% schema description coverage, the description explains both parameters in detail, including examples, source tools, and constraints (e.g., merge_id cannot be a default field). This adds significant value beyond the bare schema.

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 action ('delete a custom merge field and all its stored data from an audience'), specifying the resource and scope. It is distinct from sibling tools like create_merge_field and update_merge_field.

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?

The description advises using only when the field is no longer needed, and warns that default fields cannot be deleted. It provides guidance on obtaining merge_id via list_merge_fields. However, it does not explicitly mention alternatives like update_merge_field if the goal is to change rather than delete.

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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