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damientilman

Mailchimp MCP

list_audience_members

Retrieve members of a specific Mailchimp audience with subscription status, merge fields, and engagement statistics. Filter by status or paginate results.

Instructions

List members of a specific audience with subscription status, merge fields, and engagement stats.

Use to browse members of a known audience. Use search_members instead to find a specific person by email or name across all audiences. Use list_segment_members to list members of a specific segment/tag.

Authenticated via API key. Subject to Mailchimp API rate limits (max 10 concurrent requests). Read-only, safe to retry.

Args: list_id: The Mailchimp audience/list ID (e.g. 'abc123def4'). Obtain from list_audiences. count: Number of members to return (1-1000, default 20). offset: Pagination offset. Use when total_items exceeds count. status: Filter by subscription status. Valid values: 'subscribed', 'unsubscribed', 'cleaned', 'pending', 'transactional'. Omit to return all statuses.

Returns: JSON with total_items and members array. Each member: id (MD5 hash of email), email_address, status, full_name, merge_fields (object with FNAME, LNAME, etc.), open_rate (decimal 0-1), click_rate (decimal 0-1), timestamp_opt (ISO 8601 opt-in time).

Example: list_audience_members(list_id="abc123", count=50, status="subscribed") -> {"total_items": 5000, "members": [{"email_address": "jane@co.com", "status": "subscribed", ...}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
countNo
offsetNo
statusNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It discloses authentication via API key, Mailchimp rate limits (max 10 concurrent requests), declares the operation as read-only and safe to retry, and explains return structure. This is comprehensive behavioral disclosure.

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 opening sentence, then usage guidelines, behavioral notes, parameter details, return format, and an example. Every sentence adds value, and it is appropriately concise for the tool's complexity.

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 the tool has 4 parameters, no annotations, and an output schema, the description is exceptionally complete. It covers usage context, behavioral notes, all parameters, return format, and provides an example. Nothing essential is missing.

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?

Although the input schema has 0% description coverage, the description fully compensates by documenting each parameter in the Args block: list_id with example, count with range and default, offset with pagination guidance, and status with valid values. This goes well beyond the 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 (list) and resource (members of a specific audience) with details on returned data (subscription status, merge fields, engagement stats). It also explicitly distinguishes from sibling tools like search_members and list_segment_members, meeting the high standard for this dimension.

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?

The description provides explicit guidance on when to use this tool: 'Use to browse members of a known audience.' It then specifies alternatives: 'Use search_members instead to find a specific person... Use list_segment_members to list members of a specific segment/tag.' This meets the highest criteria.

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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