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damientilman

Mailchimp MCP

get_audience_growth_history

Retrieve monthly changes in audience size including new subscribers, unsubscribes, and cleaned contacts to track growth.

Instructions

Retrieve monthly growth history for an audience (subscribes, unsubscribes, cleaned).

Each record is one calendar month, ordered newest first. Use get_audience_details for current totals instead of historical trends.

Authenticated via API key. Max 10 concurrent requests. Read-only, safe to retry.

Args: list_id: Audience/list ID (10-char alphanumeric, e.g. 'abc123def4'). Obtain from list_audiences. count: Months to return (1-1000, default 12).

Returns: JSON with list_id and history array. Each: month (YYYY-MM), subscribed, unsubscribed, reconfirm, cleaned, pending, transactional (all cumulative ints).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYes
countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, so description carries full burden. It declares 'Read-only, safe to retry' and 'Max 10 concurrent requests', covering safety and retry behavior adequately.

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?

Starts with a one-line purpose, then logically organizes with bullet insight: ordering, alternative, auth/concurrency, then Args and Returns. No unnecessary 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?

Covers all needed information: parameters, return format (including fields), ordering, usage context, and rate limits. Complete for a read-only retrieval tool.

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 fully compensates: explains list_id format, source (list_audiences), and count range/default. Adds meaning beyond 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 verb and resource: 'Retrieve monthly growth history for an audience.' It explicitly distinguishes from sibling get_audience_details by contrasting historical trends vs current totals.

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?

Provides explicit guidance: 'Use get_audience_details for current totals instead of historical trends.' Also includes authentication and concurrency limits, helping the agent decide when to use.

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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