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N-Graves

printify-mcp-server

by N-Graves

printify_call

Call any Printify API operation by ID to manage products, orders, uploads, and shipping costs. The shop ID is auto-filled from the environment when omitted.

Instructions

Call any Printify operation by id. shop_id is filled in from PRINTIFY_SHOP_ID when you leave it out.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
paramsNo
operation_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of explaining behavior. It does disclose one useful behavior: shop_id is automatically filled from PRINTIFY_SHOP_ID when omitted. However, it does not disclose that this can invoke arbitrary operations including mutations, how errors surface, auth requirements, or any side effects.

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?

The description is two short sentences with no filler, and the most important purpose is front-loaded. The shop_id note is valuable and earns its place. It loses one point because the phrasing 'any Printify operation' is vague and could be more informative without much extra length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a generic operation-calling tool with no annotations, no output schema, and fully undocumented body/params, two sentences are not enough. Missing guidance includes how operation IDs are discovered, how body and params map to a specific operation, what the response looks like, and whether the call is safe or mutating.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It adds meaning to operation_id as the operation identifier and explains the shop_id fallback, which is genuinely useful beyond the schema. But body and params remain completely unexplained in both schema and description, leaving the agent without enough information to construct a valid call.

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 states a clear verb ('call') and a resource ('any Printify operation') identified by operation_id. It is not a tautology and does distinguish itself as a generic dispatcher from the specific sibling tools, though 'any operation' is broad and does not name the siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many sibling tools like printify_list_orders or printify_get_product. 'Call any Printify operation' implies broad use but does not explain when the generic dispatcher is preferred over specialized operations, nor does it mention the relationship to printify_list_operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.