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List orders

printful_list_orders
Read-only

List the store's orders, newest first, optionally by status (draft, pending, failed, canceled, inprocess, onhold, partial, fulfilled, archived). Printful: GET /orders.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoItems per page, 1-100.
offsetNoResult set offset (items to skip).
statusNoOrder status, e.g. draft, pending, fulfilled, failed.
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

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the default ordering ('newest first') and the upstream endpoint (Printful GET /orders), which is useful context, but it says nothing about pagination behavior or result volume beyond what the schema's limit/offset imply.

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 front-loaded sentence carrying the resource, sort order, filter values, and upstream 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 read-only list tool with no output schema, the description plus the fully documented four-parameter schema covers what an agent needs to call it. The only gap is that pagination semantics (how limit/offset compose) are left to the schema field descriptions.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further by enumerating the full set of nine valid status values (draft, pending, failed, canceled, inprocess, onhold, partial, fulfilled, archived), whereas the schema only gives four examples. That closes a real gap since the schema declares no enums.

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?

States a specific verb and resource ('List the store's orders') plus the default sort ('newest first') and the optional filter dimension. It does not explicitly name the sibling it contrasts with (printful_get_order), but the read-many vs read-one distinction is inferable from the name and sibling set.

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?

Usage is only implied: 'optionally by status' tells the agent the status param selects a subset, but there is no statement of when to use this versus printful_get_order or printful_get_statistics, and no prerequisites or exclusions.

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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