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damientilman

Mailchimp MCP

delete_member

DestructiveIdempotent

Permanently delete a member and all data from an audience. Use for GDPR right-to-erasure requests; no undo.

Instructions

Permanently delete a member and all their data from an audience.

Use only for complete data removal (e.g. GDPR right-to-erasure requests). All activity history, merge field data, and tag associations are permanently lost. Equivalent to delete_member_permanent (same endpoint). Use unsubscribe_member instead to stop sending while preserving data for reporting. There is no undo.

Args: list_id: The Mailchimp audience/list ID (e.g. 'abc123def4'). Obtain from list_audiences. email_address: Email address of the member to permanently delete. Must exist in the audience.

Returns: JSON with fields: status ("permanently_deleted"), email_address. Returns error if the member does not exist.

Example: delete_member(list_id="abc123", email_address="jane@co.com") -> {"status": "permanently_deleted", "email_address": "jane@co.com"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
list_idYes
email_addressYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Describes permanent data loss of activity history, merge fields, tags. Annotations already indicate destructive nature; description adds specific context without contradiction.

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?

Well-structured with sections: summary, usage, args, returns, example. Concise yet comprehensive, every sentence adds value.

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 all needed aspects: purpose, usage, behavior, parameters, returns with example. Output schema not shown but description explains return fields. Complete for a simple delete tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Provides clear explanations for list_id and email_address including format and requirements. However, misses the optional 'account' parameter. Schema coverage is 0%, so description compensates well but not fully.

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 permanently deletes a member and all data. Distinguishes from sibling tools like unsubscribe_member and delete_member_permanent.

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 (complete data removal, GDPR) and when not (use unsubscribe_member). Also explains no undo and how to get list_id.

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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