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Get a catalog product

printful_get_catalog_product
Read-only

Fetch one catalog product with ALL its variants (size, color, variant_id, price, stock). Use the variant_id values when quoting shipping or building an order. Printful: GET /products/{id}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesCatalog product id, e.g. 71.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

readOnlyHint=true already establishes the safe-read profile, but with no output schema the description carries real weight by disclosing that the response includes every variant plus the fields size, color, variant_id, price, and stock. It does not mention pagination, caching, or rate limits, so it is informative rather than exhaustive.

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 tight sentences: the fetch scope leads, then the practical follow-up use. No filler, and the API endpoint reference is compressed to a single token.

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 single-parameter read tool with a safe-read annotation and full schema coverage, this covers what an agent needs, and it partially compensates for the missing output schema by enumerating returned variant fields. A slightly fuller picture of the response envelope would make it complete.

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 product_id (with an example value) is already documented in the schema; the description adds no new parameter syntax or constraints. Baseline 3 applies when the schema does the parameter work.

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?

States a specific verb (Fetch) and resource (one catalog product) with an explicit scope qualifier: it returns ALL variants. The 'ALL its variants' framing implicitly separates it from printful_get_catalog_variant and printful_list_catalog_products, so an agent can route correctly without opening the schema.

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?

It gives clear downstream context ('use the variant_id values when quoting shipping or building an order'), which tells the agent why and when to call this. It stops short of naming alternatives or exclusions (e.g., use get_catalog_variant when you already know the variant), so it is not a full when/when-not statement.

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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