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damientilman

Mailchimp MCP

delete_interest_category

Remove an entire interest category and all its options from a Mailchimp audience. Subscriber associations are removed, but subscribers remain unaffected.

Instructions

Delete an interest category and all its interest options at once.

Removes the entire category with all its options. All subscriber associations with interests in this category are removed. Subscribers themselves are not affected. Use delete_interest instead to remove a single option while keeping the category. Use list_interest_categories to find category IDs.

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. category_id: The interest category ID to delete. Obtain from list_interest_categories.

Returns: JSON with fields: status ("deleted"), category_id. Returns error if category does not exist.

Example: delete_interest_category(list_id="abc123", category_id="cat456") -> {"status": "deleted", "category_id": "cat456"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
category_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description carries full burden. It discloses irreversibility, removal of subscriber associations, no effect on subscribers, authentication via API key, rate limits, and respect for read-only/dry-run modes.

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 clear sections (main description, notes, Args, Returns, Example), concise yet comprehensive with no wasted 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?

The description provides all necessary context: scope of deletion, effects on subscribers, alternatives, how to obtain IDs, input/output format, error handling, and example. Output schema details are covered in the Returns section.

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 coverage is 0%, but the description adds complete meaning: list_id is from list_audiences, category_id from list_interest_categories, with an example showing use. This compensates fully for the lack of 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 explicitly states 'Delete an interest category and all its interest options at once,' with a specific verb and resource. It distinguishes from sibling tools like delete_interest and references list_interest_categories for ID lookup.

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 provides clear guidance on when to use this tool versus delete_interest, and suggests using list_interest_categories to find IDs. It does not explicitly state when not to use, but the alternative is well-defined.

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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