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Get an order

printful_get_order
Read-only

Fetch one order: status, recipient, items, costs, and shipments with carrier and tracking links — the answer to 'where is my order?'. Printful: GET /orders/{id}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
order_idYesNumeric Printful order id, or your External ID prefixed with @ (e.g. @SHOP-1001).
store_idNoStore id (numeric) for an ACCOUNT-level token; overrides PRINTFUL_STORE_ID. Not needed with a store-level token.

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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered, but the description adds real value by disclosing the response payload shape (status, recipient, items, costs, carrier and tracking links) even though no output schema exists. It omits auth/token nuances, though the store_id schema field covers part of that.

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?

A single sentence, front-loaded with the action and resource, then the payload, then the use case and endpoint. No filler and nothing redundant.

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 two-parameter read tool with no output schema, the description is close to sufficient: it names the return fields, which compensates for the missing output schema, and the schema fully documents parameters. Only a note on auth/token scope or error cases would round it out.

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 both order_id (including the @ExternalID format) and store_id are already fully documented in the schema. The description's 'GET /orders/{id}' implies the id path parameter but adds no new semantics, so the 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?

The description states a specific verb+resource ('Fetch one order') and enumerates the returned payload: status, recipient, items, costs, shipments with carrier and tracking links. Combined with the API hint (GET /orders/{id}), an agent can immediately distinguish this from printful_list_orders without opening either 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 a concrete usage scenario ('the answer to where is my order?'), which clearly frames when this tool is appropriate. It does not name an alternative or exclusion (e.g. use printful_list_orders for multiple orders), so it stops short of full routing guidance.

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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