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Kockatoos Shopify MCP Server

get_product

Retrieve complete product details including variants, images, and options by providing the product ID.

Instructions

Get full details of a single product by its ID, including all variants, images, and options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesThe numeric Shopify product ID.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It states the return details but does not disclose permissions, rate limits, or error conditions (e.g., what happens if product ID does not exist). It adequately conveys it's a read operation returning comprehensive data.

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 a single concise sentence with no extraneous content. It is front-loaded with the key action and resource.

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 read tool with one parameter and no output schema, the description covers the key output elements (variants, images, options). It lacks details on response format or errors, but these are arguably covered by the schema and typical REST conventions. Adequate for the complexity.

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?

The input schema has one parameter with a description, and the tool description adds 'by its ID' but not additional semantics. With 100% schema coverage, baseline is 3; the tool description does not add significant value beyond the schema for parameter meaning.

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 'get' and the resource 'product by its ID', and specifies the scope includes 'all variants, images, and options'. This distinguishes it from siblings like get_variant or get_product_image.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies you need the product ID to use this tool, but it does not provide explicit guidance on when to use this tool versus alternatives like list_products or get_variant. No exclusions or conditions are mentioned.

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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