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damientilman

Mailchimp MCP

delete_store_order_line

DestructiveIdempotent

Permanently remove a line item from an e-commerce order. This action is irreversible and deletes the specified item from the order.

Instructions

Permanently delete a line item from an e-commerce order.

This removes the line from the order and cannot be undone. Manual commerce writes suit custom/headless stores; Shopify and WooCommerce integrations sync order lines automatically.

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

Args: store_id: E-commerce store ID. Obtain from list_ecommerce_stores. order_id: Order ID that owns the line. line_id: Line item ID to delete. account: Optional account name (e.g. 'marketing') configured via MAILCHIMP_API_KEY_. Omit to use the default account. See list_accounts.

Returns: JSON confirming deletion (empty body on success) or an error object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
line_idYes
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?

Discloses destructive behavior ('cannot be undone'), rate limit (max 10 concurrent requests), and respect for read-only/dry-run modes. Annotations already indicate idempotent and destructive hints, and description adds useful context without contradiction.

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 concise and well-structured: a single-sentence summary, followed by behavioral details, then parameter descriptions. 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?

Covers all critical aspects: purpose, usage context, parameter semantics, return value, and behavioral notes. The presence of an output schema is complemented by the description of the return format.

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?

Since schema description coverage is 0%, the description fully compensates by explaining each parameter's purpose (store_id, order_id, line_id) and providing guidance on how to obtain them (e.g., 'Obtain from list_ecommerce_stores'). The optional account parameter is also 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 'Permanently delete a line item from an e-commerce order,' specifying the verb, resource, and context. It distinguishes from siblings like delete_store_order and create_store_order_line.

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?

Provides context on when to use (manual e-commerce stores) and warns about permanence. Mentions authentication and rate limits but does not explicitly list when not to use or alternatives.

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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