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Printify MCP by usefulapi

List shops

printify_list_shops
Read-only

List all shops connected to the Printify account. This is the entry point — each shop's id is required by the product, order and webhook tools. Printify REST: GET /v1/shops.json.

Input Schema

NameRequiredDescriptionDefault

No arguments

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

A4.4/5.0
Behavior4/5

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

readOnlyHint=true already establishes the safe-read profile, and the description adds genuinely useful context beyond that: this is the discovery/entry-point call whose returned ids are a prerequisite for product, order and webhook tools. It does not mention pagination or result shape, which is the main remaining gap for a list operation.

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 sentences, zero filler: the first states what it returns, the second front-loads the critical dependency ('entry point' + required `id`) followed by the concrete API mapping. Every clause earns its place.

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 parameterless list tool with no output schema, the description covers what is returned (shops and their ids) and how the result is used downstream, which is enough to call it correctly. Only the absence of any pagination/size hint keeps it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify and the schema is trivially complete (100% coverage). Baseline 4 applies for a no-parameter tool.

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?

Clear verb+resource ('List all shops connected to the Printify account') with the added scope that these are account-connected shops, and the underlying REST endpoint GET /v1/shops.json pins down semantics exactly. No sibling lists shops, so it is unambiguously distinguishable.

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?

Explicitly frames itself as the entry point and states that each shop `id` is required by the product, order and webhook tools, which tells the agent when to call it and why. It stops short of naming any conditional exclusions or alternative paths, but there is no competing sibling for this data.

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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