Skip to main content
Glama
damientilman

Mailchimp MCP

create_store

Create 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.

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.

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
Behavior4/5

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

Annotations provide readOnlyHint=false, idempotentHint=false, destructiveHint=false. The description adds context about the store's role and integration options, but does not elaborate on potential side effects, permissions, or error handling beyond creation.

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 a summary paragraph and an Args list. It is slightly lengthy but every sentence adds value. No redundant information.

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 presence of an output schema, the description covers the tool's purpose, usage context, parameter details, and distinguishes from siblings. It provides complete context for an AI agent to select and invoke correctly.

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 description coverage is 0%, but the description's Args section explains each parameter with examples and context (e.g., store_id as unique ID, currency_code as ISO 4217, additional_fields as optional dict). This compensates fully for the missing schema descriptions.

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 'Create' and resource 'e-commerce store', and specifies its role as a top-level container for products, customers, carts, and orders. This distinguishes it from sibling create_* tools.

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 mentions that many stores sync automatically via Shopify/WooCommerce integrations, and that this manual write suits custom or headless storefronts, providing clear guidance on when to use this tool vs alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/damientilman/mailchimp-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server