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damientilman

Mailchimp MCP

get_store_order

Read-only

Retrieve full details of a specific e-commerce order, including customer, items, and totals. Use after finding the order in a store list to inspect its complete data.

Instructions

Retrieve a single e-commerce order with its lines, customer, and totals.

Use to inspect one order's full detail after finding it via list_store_orders or list_account_orders. Manual commerce writes suit custom/headless stores; Shopify and WooCommerce integrations sync orders automatically.

Args: store_id: E-commerce store ID. Obtain from list_ecommerce_stores. order_id: Order ID within the store. Obtain from list_store_orders.

Returns: JSON with the full order object (id, customer, currency_code, order_total, lines, financial_status, processed_at_foreign, and related fields).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
order_idYes
store_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already mark it as readOnly (safe read). Description adds return content details (lines, customer, totals) and specific fields. No contradictions. Good context beyond annotations.

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 front-loaded: first sentence states purpose. Two short paragraphs plus Args/Returns. Every sentence adds value, no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers return fields, usage context, and parameter sources. Missing mention of optional 'account' parameter. Output schema exists, so return structure detail is not needed. Adequate for complexity.

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?

Schema description coverage is 0%. Description compensates by explaining how to obtain store_id and order_id from other tools. The optional 'account' parameter is not mentioned, but required params are well-documented.

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 'Retrieve a single e-commerce order' with a specific verb and resource. It distinguishes from siblings like list_store_orders (listing) and create_store_order (creation) by specifying 'single' and indicating use after listing.

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 states when to use: 'to inspect one order's full detail after finding it via list_store_orders or list_account_orders.' Provides context on store types. Lacks explicit 'do not use' but is clear enough.

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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