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damientilman

Mailchimp MCP

get_ecommerce_product_activity

Retrieve product-level revenue and purchase data for a sent campaign. Requires an active e-commerce integration.

Instructions

Retrieve e-commerce product activity for a campaign showing revenue per product.

Requires an active e-commerce integration; returns total_items: 0 if none is connected. Use list_ecommerce_stores to verify status. Only works for sent campaigns.

Authenticated via API key. Max 10 concurrent requests. Read-only, safe to retry. Returns 404 error if campaign_id is invalid.

Args: campaign_id: Campaign ID (e.g. 'abc123def4'). Must be a sent campaign. count: Products to return (1-1000, default 20). offset: Pagination offset. Use when total_items exceeds count.

Returns: JSON with total_items and products array. Each: title, sku, image_url, total_revenue (float, store currency), total_purchased.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYes
countNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Since no annotations are provided, the description fully carries the burden, disclosing read-only nature, safe retry, max 10 concurrent requests, and error response (404 for invalid campaign_id, zero items if no integration).

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-organized: purpose first, then prerequisites, behavior, parameter details, and return values. All sentences are necessary and no 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?

For a tool with 3 parameters and an output schema, the description covers prerequisites, behavior, parameter semantics, and return format comprehensively, leaving no gaps.

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 compensates by detailing each parameter: campaign_id format and constraint, count range and default, offset usage hint, all adding meaning beyond the schema.

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 'Retrieve' and the resource 'e-commerce product activity for a campaign showing revenue per product', distinguishing it from related tools like get_campaign_report or list_store_products.

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 provides when-to-use: 'Requires an active e-commerce integration' and 'Only works for sent campaigns', and suggests checking integration status with list_ecommerce_stores. Also mentions authentication and rate limits.

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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