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Printify MCP by usefulapi

Publish product

printify_publish_product
Destructive

Publish a product to the shop's connected sales channel (e.g. Shopify, Etsy). STATE-CHANGING: this locks the product and pushes the selected fields to the external store. The body is an object of booleans controlling which fields are published; all default to true. Printify REST: POST /v1/shops/{shop_id}/products/{product_id}/publish.json.

Input Schema

NameRequiredDescriptionDefault
tagsNoPublish the tags (default true).
titleNoPublish the title (default true).
imagesNoPublish the images (default true).
shop_idYesShop id — required.
variantsNoPublish the variants (default true).
product_idYesProduct id — required.
descriptionNoPublish the description (default true).
keyFeaturesNoPublish the key features (default true).
shipping_templateNoPublish the shipping template (default true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only supply destructiveHint=true; the description goes further by disclosing that the product gets locked and that selected fields are pushed to the external store, which is meaningful consequence detail. It stops short of permissions/scopes, reversibility, or what happens on partial failure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences, with the state-changing warning front and center before the parameter explanation. The trailing REST endpoint note is slightly extraneous for an agent but does not bloat the text.

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 destructive, no-output-schema tool with nine well-documented parameters, the description covers purpose, side effects, and parameter shape adequately. An agent could call it correctly; only permissions and failure/rollback behavior remain unstated, which is acceptable given the annotation.

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 every parameter including the boolean field selectors is already documented per-property. The description adds only a synthesized summary ('body is an object of booleans... all default to true'), which is a mild convenience but not new semantics; baseline 3 applies.

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 (Publish) and resource (a product) with explicit scope: pushing to the shop's connected external sales channel like Shopify or Etsy. This is clearly distinguishable from the get_/list_ siblings, which retrieve rather than push.

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 makes the intent obvious (publish an existing product to a sales channel) but never states when to use it versus alternatives, nor any preconditions such as the product needing to exist or a channel being connected. Usage is implied rather than guided.

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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