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damientilman

Mailchimp MCP

list_ecommerce_stores

List connected e-commerce stores like Shopify and WooCommerce, returning platform, currency, and store IDs. Verify integration status before using related tools.

Instructions

List connected e-commerce stores (Shopify, WooCommerce, etc.) with platform and currency info.

Use to discover store IDs for list_store_orders, list_store_products, list_store_customers. Also verifies integration status before get_ecommerce_product_activity. Returns total_items: 0 if no integration is configured.

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

Returns: JSON with total_items and stores array. Each: id (use as store_id), list_id, name, platform, domain, currency_code (ISO 4217), money_format, created_at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Despite no annotations, the description thoroughly discloses behavioral traits: requires API key authentication, max 10 concurrent requests, read-only and safe to retry, and returns total_items:0 when no integration is configured.

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?

Concise and well-structured. The first sentence captures the purpose, followed by usage context, authentication/limits, and return format. 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?

Complete for a parameterless list tool. Includes integration verification, rate limits, return structure, and links to dependent tools. Output schema is described sufficiently.

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?

Input schema has no parameters, so the baseline is 4. Description adds no parameter info, but that is acceptable given zero parameters.

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 the tool lists connected e-commerce stores with platform and currency info. It differentiates from sibling tools by specifying its role in providing store IDs for other operations like list_store_orders.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to use this tool before other e-commerce tools to discover store IDs and verify integration status. Lacks explicit 'when not to use' but provides sufficient guidance.

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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