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AmitGurbani

mcp-server-woocommerce

by AmitGurbani

list_variations

Read-only

List all variations for a variable product, including price, SKU, and stock details. Specify fields to fetch only the needed data.

Instructions

List all variations for a variable product. Each variation has its own price, SKU, and stock. Use fields param to request only needed fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
fieldsNoComma-separated fields to return (default: id,sku,price,regular_price,sale_price,status,stock_status,stock_quantity,attributes,image)
per_pageNoItems per page (max 100)
product_idYesParent product ID
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is known. The description adds minor context about variation fields (price, SKU, stock) and suggests using the fields parameter to limit response size. It does not disclose pagination behavior or other limitations, but with annotations covering the safety profile, this is adequate.

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 three short sentences, front-loaded with the primary action. Every sentence adds value with no repetition or fluff, making it efficiently structured.

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?

For a simple list tool with readOnlyHint and a schema covering pagination, the description is sufficient. It hints at response contents (price, SKU, stock) and the fields parameter for customization. Since there is no output schema, this level of detail is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters are already documented. The description's mention of the fields param adds no new semantic information beyond what the schema provides. Baseline 3 is appropriate as the schema carries the weight.

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 opens with a specific verb and resource: 'List all variations for a variable product.' This clearly distinguishes it from siblings like get_variation (single variation) and list_products (products list). The additional context about each variation having its own price, SKU, and stock further clarifies the tool's purpose.

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?

The description states exactly when to use the tool: when you need variations of a variable product. It provides clear context but does not explicitly name alternative tools or state when not to use it, stopping short of a full 5.

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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