Get a catalog variant
printful_get_catalog_variantFetch one catalog variant and its parent product. Printful: GET /products/variant/{id}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| variant_id | Yes | Catalog variant id, e.g. 4012. |
printful_get_catalog_variantFetch one catalog variant and its parent product. Printful: GET /products/variant/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| variant_id | Yes | Catalog variant id, e.g. 4012. |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description adds one useful behavioral detail – that the response includes the parent product, not just the variant – but says nothing about auth requirements, error behavior, or payload shape.
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?
Two compact sentences with the key capability front-loaded before the endpoint reference. Every clause carries information and there is no filler.
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 single-parameter read tool with no output schema, the description covers what is fetched (variant plus parent product) and where it comes from, which is enough to invoke it. It falls just short of complete by not clarifying its relationship to the sibling catalog product tool.
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 100% and the single variant_id parameter already carries a type and example (4012) in the schema. The description adds no format, range, or sourcing detail beyond what the schema provides, so baseline 3 applies.
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?
States a specific verb and resource ('Fetch one catalog variant and its parent product') plus the underlying Printful endpoint, which is clear. It does not explicitly differentiate itself from the sibling printful_get_catalog_product, leaving the variant-vs-product scope distinction to be inferred.
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 gives no when-to-use guidance, prerequisites, or comparison against alternatives such as printful_get_catalog_product or printful_get_store_product. The agent must infer the calling context from the name alone.
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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