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Printify MCP Server and API by Cotlet

Update variant prices in Printify

printify_update_variant_prices
Read-onlyIdempotent

Update variant prices in the user's own Printify account from ChatGPT, Claude or any AI agent. Returns how to do it in Printify step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Printify Cloud Browser. Printify's official API: Printify has a full public REST API, version 1, for shops, catalog, products, orders, uploads and webhooks, but no official MCP server (checked 17 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "printify_update_variant_prices"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already establish readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description reinforces this with 'opens nothing by itself' — so an agent knows calling it has no side effects. It adds useful operational context (returns step-by-step screens/buttons/fields, requires the Printify Cloud Browser and cotlet_browser_* tools), though it never states prerequisites such as an active browser session or Printify login.

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

Conciseness3/5

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

The first two sentences are dense and front-loaded with the essential behavior and the handoff instruction. The third sentence about Printify's public REST API and the absence of an official MCP server (with a dated check) is irrelevant background that does not help an agent decide or invoke, so it dilutes the definition.

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 zero-parameter, read-only guidance tool with no output schema, the definition tells the agent what comes back (step-by-step instructions) and what to do next (cotlet_browser_*). The main residual gap is preconditions — whether a Printify browser session must already be open and what happens if not.

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 the baseline is 4 and there are no argument semantics to explain. The description correctly implies the tool needs no input and instead returns instructional content.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description makes the real behavior explicit: it 'Returns how to do it in Printify step by step (screens, buttons, fields)' rather than performing the update, which resolves the tension with the mutating-sounding name. It doesn't differentiate itself from the other printify_* siblings (create/publish/list), so an agent can't tell from this text whether those are also guidance tools or direct actions.

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 a concrete workflow handoff — 'then do it with the cotlet_browser_* tools in the user's Printify Cloud Browser' — which tells the agent exactly what to call next. It stops short of stating when to prefer this over direct browser-only operation or any prerequisites, so no explicit exclusions are given.

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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