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damientilman

Mailchimp MCP

list_store_product_images

Read-only

List all images attached to a product in your Mailchimp e-commerce store, including URLs and variant associations.

Instructions

List the images attached to a product in an e-commerce store.

Use to review the image URLs and variant associations for a product before adding or updating them. Manual commerce writes suit custom/headless stores; Shopify and WooCommerce integrations sync product images automatically.

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

Args: store_id: E-commerce store ID. Obtain from list_ecommerce_stores. product_id: Product ID whose images to list. Obtain from list_store_products. count: Number of images to return (max 1000). Defaults to 10. offset: Number of images to skip for pagination. Defaults to 0. account: Optional account name (e.g. 'marketing') configured via MAILCHIMP_API_KEY_. Omit to use the default account. See list_accounts.

Returns: JSON with images (array of {id, url, variant_ids}), total_items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
offsetNo
accountNo
store_idYes
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Beyond the readOnlyHint and destructiveHint annotations, the description adds 'Read-only, safe to retry', 'Authenticated via API key', and 'Max 10 concurrent requests', providing valuable behavioral context.

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?

The description is well-structured with paragraphs and a clear list of arguments. Every sentence adds value without redundancy.

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 5 parameters, 0% schema coverage, but with an output schema described, the description covers auth, rate limits, return format, and parameter sources, making it fully informative.

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 coverage, the description fully compensates by explaining each parameter: store_id and product_id with instructions to obtain them, count (max 1000, default 10), offset (default 0), and account (optional, from 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 lists images attached to a product, distinguishes from sibling tools like create/delete/update_store_product_image, and specifies the use case (review before adding/updating).

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?

It explains when to use (before adding/updating images) and notes that Shopify/WooCommerce integrations sync automatically, implying less need for manual listing. It also mentions 'safe to retry'. However, it lacks explicit exclusions or alternative tool recommendations.

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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