Skip to main content
Glama
damientilman

Mailchimp MCP

list_interests

Get interest options and subscriber counts within a category for a Mailchimp audience. Retrieve interest IDs needed to set member preferences.

Instructions

List interest options within a category, with subscriber counts per option.

Use after list_interest_categories to see individual options (e.g. "Tech", "Sports"). Interest IDs are needed when setting member preferences via add_member/update_member. Do not use to manage member preferences directly; set interests per-member via the API instead.

Authenticated via API key. Max 10 concurrent requests. Read-only, safe to retry. Returns 404 error if category_id is invalid.

Args: list_id: Audience/list ID (10-char alphanumeric, e.g. 'abc123def4'). Obtain from list_audiences. category_id: Interest category ID. Obtain from list_interest_categories. count: Number of interests to return (1-1000, default 50). offset: Pagination offset. Use when total_items exceeds count.

Returns: JSON with total_items and interests array. Each interest: id, name, subscriber_count, display_order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
category_idYes
countNo
offsetNo

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 fully covers behavioral traits: authentication via API key, max concurrent requests (10), read-only/safe-to-retry, and error response (404 for invalid category_id).

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 summary, usage guidance, behavior, parameter list, and return format. Slightly verbose but each sentence adds value. Front-loaded with core purpose.

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?

Given 4 parameters, no annotations, and output schema present (described), the description covers purpose, guidelines, behavior, all parameters, and output format. No gaps.

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?

Input schema has 0% description coverage, but the description adds complete meaning for all 4 parameters: list_id format and source, category_id source, count range with default, and offset for pagination.

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 tool lists interest options within a category with subscriber counts, distinct from listing categories (list_interest_categories). It provides specific verb and resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use ('after list_interest_categories'), that interest IDs are needed for member preferences, and what not to do (manage preferences directly). Provides clear context and alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/damientilman/mailchimp-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server