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untitled-developers

Kockatoos Shopify MCP Server

list_variants

Retrieve all variants of a product by product ID, showing each SKU's price, inventory, and option values.

Instructions

List all variants of a product. Each variant represents a specific purchasable SKU with its own price, inventory, and options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesThe numeric Shopify product ID.
limitNoNumber of variants to return (1-250). Default: 50.
page_infoNoCursor for pagination.
Behavior3/5

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

No annotations provided, so description carries full burden. It states that variants have price, inventory, and options, adding behavioral context. However, it does not disclose pagination behavior or the effect of the 'limit' parameter beyond schema.

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?

Two concise sentences: first states the purpose, second explains what a variant is. No waste, front-loaded, and easy to parse.

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

Completeness3/5

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

Adequate for a basic list tool with schema-covered parameters. Missing details about return format and pagination behavior, but sufficient given sibling tool clarity.

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 coverage is 100% with clear descriptions for all parameters. The description adds minimal beyond the schema, mainly reinforcing variant attributes. Baseline 3 is appropriate.

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?

Describes the tool's purpose as listing variants of a product, specifying that variants are purchasable SKUs with price, inventory, and options. This clearly distinguishes it from sibling tools like 'list_products' or 'get_variant'.

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 clear context that this tool is for retrieving all variants of a product. However, it does not explicitly mention when not to use it or alternatives like 'get_variant' for a single variant.

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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