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damientilman

Mailchimp MCP

get_member_activity

Retrieve a member's email interaction history including opens, clicks, and bounces across all campaigns. Requires the audience list ID and member email.

Instructions

Retrieve a member's email interaction history (opens, clicks, bounces across all campaigns).

Shows email actions only. Use get_member_events for custom API-triggered events. Use get_member_tags for tag data. Use search_members first to find which audience a member belongs to.

Authenticated via API key. Max 10 concurrent requests. Read-only, safe to retry. Returns 404 error if the member does not exist in the audience.

Args: list_id: Audience/list ID (10-char alphanumeric, e.g. 'abc123def4'). Obtain from list_audiences. email_address: Email of the member. Must exist in the audience. count: Number of activity records to return (1-1000, default 20).

Returns: JSON with email_address and activity array. Each: action ('open'/'click'/'bounce'), timestamp, campaign_id, title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
email_addressYes
countNo

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 behavior: read-only, safe to retry, max 10 concurrent requests, 404 error if member not found, return format (JSON with activity array).

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: purpose sentence, usage guidelines, behavior notes, then parameter details. Each sentence adds value, no fluff.

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 output schema exists, description covers return format, error conditions, and parameter details. Complete for a read operation with good separation from siblings.

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 description adds detailed semantics for each parameter: list_id format and source, email_address requirement, count range and default.

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 it retrieves a member's email interaction history (opens, clicks, bounces) across all campaigns, and distinguishes from sibling tools get_member_events and get_member_tags.

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 lists when to use this tool vs alternatives: 'Shows email actions only. Use get_member_events for custom API-triggered events. Use get_member_tags for tag data. Use search_members first to find which audience a member belongs to.' Also mentions authentication and rate limits.

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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