printful_get_store_productRetrieve a single store product with its variants and attached print files to verify the exact artwork that will be used in production.
Fetch one sync product with its variants and the print files attached to each. Use this to see which artwork a product will actually print.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool as read-only, idempotent, and non-destructive, which covers the safety profile. The description goes beyond annotations by specifying what data is returned ('variants and the print files attached to each') and the purpose ('see which artwork a product will actually print'). This adds useful behavioral context without contradicting any annotation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no filler. The first sentence states the core action and return content; the second provides a clear use case. Information density is high and the most important detail (fetching a single product) is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple get-by-id tool with one parameter, a clear return description (variants and print files), and a practical use case, the description is largely complete. It doesn't detail pagination or output format, but with no output schema and annotations covering safety, this is a minor omission. The description sufficiently answers what an agent needs to know to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description does not explain the 'id' parameter at all. While the parameter name is intuitive and there's only one, the description omits any explicit statement that 'id' is the sync product's ID. With zero coverage in the schema, the description should compensate by describing parameter semantics, but it does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Fetch'), resource ('sync product'), and the exact components included ('variants and the print files'). It also gives a concrete use case ('to see which artwork a product will actually print'), which clearly differentiates it from siblings like printful_get_catalog_product (catalog vs sync) and printful_list_store_products (list vs single).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a clear context for when to use the tool: 'Use this to see which artwork a product will actually print.' This implies the tool is intended for inspecting printable artwork on a specific sync product. It doesn't explicitly mention exclusions or alternatives (e.g., catalog products via printful_get_catalog_product), but the context is specific enough to guide an agent without confusion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.