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damientilman

Mailchimp MCP

create_store

Creates an e-commerce store in Mailchimp to manage products, customers, carts, and orders for custom or headless storefronts.

Instructions

Create an e-commerce store in Mailchimp to hold products, customers, carts, and orders.

A store is the top-level container that connects purchase data to an audience for segmentation and product recommendations. Many stores sync automatically via Shopify or WooCommerce integrations; these manual writes suit custom or headless storefronts.

Authenticated via API key. Max 10 concurrent requests. Respects read-only and dry-run modes.

Args: store_id: Client-supplied unique ID for the new store (e.g. 'store_1'). name: Human-readable store name shown in the Mailchimp UI. currency_code: ISO 4217 currency code (e.g. 'USD', 'EUR'). additional_fields: Optional dict of extra documented fields (e.g. list_id, domain, email_address, primary_locale, timezone) merged into the request body. account: Optional account name (e.g. 'marketing') configured via MAILCHIMP_API_KEY_. Omit to use the default account. See list_accounts.

Returns: JSON with the created store object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
accountNo
store_idYes
currency_codeYes
additional_fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

The description adds value beyond annotations by detailing authentication ('API key'), concurrency limits ('Max 10 concurrent requests'), and mode handling ('Respects read-only and dry-run modes'). No contradiction with annotations.

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?

The description is well-structured with sections but slightly verbose. Every sentence is informative, but it could be tightened without losing clarity. Front-loaded with 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 the tool's complexity (5 parameters, output schema exists), the description is complete: it explains the concept of a store, usage context, parameter details, and return value. No gaps identified.

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?

With 0% schema description coverage, the description fully compensates by explaining each parameter: store_id (with example), name, currency_code (with example), additional_fields (with list of fields), and account (with reference to list_accounts).

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's purpose: 'Create an e-commerce store in Mailchimp to hold products, customers, carts, and orders.' It uses a specific verb+resource and distinguishes from sibling tools (e.g., create_store_cart, create_store_order) by positioning this as the top-level container.

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 explicitly says when to use this tool: 'Many stores sync automatically via Shopify or WooCommerce integrations; these manual writes suit custom or headless storefronts.' It also mentions authentication and rate limits, providing clear context.

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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