Skip to main content
Glama
ApparelHub-AI

apparelhub-mcp

Official

ship_product

Automate end-to-end product launches: from a design, generate mockups, add variants, sync to fulfillment, and push to sales channels as drafts in a single call.

Instructions

End-to-end pipeline in ONE call: take a design, generate + verify a mockup (one per imported color, so every color variant has a matching mockup), create the product with the correct field names, add all variants, associate with a store, sync to fulfillment, then (optionally) sync to sales channels as DRAFT. Handles EMBROIDERY garments automatically WHEN the garment is actually embroidered: routes the design to the real embroidery placement and attaches thread colors (derived from the design, or pass thread_colors). Headwear is NOT inherently embroidered -- some providers carry printed (DTF) caps that take photoreal art as-is, so check accepts_photoreal on the garment rather than assuming, and call find_garments before concluding a design cannot go on a hat. Face goods (canvas, posters, backpacks, bags, socks, towels, blankets, pillows, cases...) default to print_style "fill": the design is recomposed onto an aesthetically matching background and printed edge-to-edge, so no green-screen background or contrasting borders reach the product. Enforces pricing floors and guards the AQUA-vs-Navy variant trap. Streams progress. PREFER this over chaining create_product + add_variants + sync_to_fulfillment + sync_to_channel yourself — especially for AUTOMATED or SCHEDULED runs — because it guarantees the correct order (store association + fulfillment sync BEFORE any channel sync). Use the split primitives only when you deliberately need a partial/interactive flow.

[#232f74]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
garmentYes
pricingYes
variantsYes
workspaceNo
design_urlNoThe design URL, if known (else resolved).
store_uuidNoOmit to create a standalone (unassociated) product.
design_uuidYesThe design to print. Comes from generate_image / design_apparel, OR from upload_design when the merchant already owns the artwork (a logo, a brand mark, a cleared cover). Never regenerate a mark you were given as a file.
print_styleNoHow the design sits on the print face. "fill": recompose onto a matching background and print edge-to-edge (default for face goods like canvas/backpacks/bags/socks/towels/blankets/pillows/cases). "placed": the design floats with transparency preserved (default for apparel and embroidery). "auto" (default) picks by garment.
product_metaYes
thread_colorsNoEMBROIDERY garments only: explicit Printful thread palette colors. Omit to auto-derive from the design (mapped to the fixed 15-color palette).
generate_mockupNoDefault true.
sync_to_channelsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.15.2

TDQS

A4.7/5.0
Behavior5/5

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

With only openWorldHint in the annotations, the description carries the behavioral burden and does so richly: it guarantees ordering (store association + fulfillment sync BEFORE channel sync), channel sync lands as DRAFT, mockups are generated one per imported color, pricing floors are enforced, a variant trap is guarded, progress is streamed, and embroidery/headwear/face-goods handling differs by garment. This is materially more than the annotation reveals.

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 pipeline is front-loaded and each clause about embroidery, headwear, and face goods earns its place by preventing a specific mistake. It is dense and occasionally parenthetical-heavy, but there is little pure filler for a tool of this scope.

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 12-parameter, nested-object tool with no output schema and only an openWorldHint annotation, the description covers the workflow, ordering guarantees, and garment-specific branching well. It stops short of describing the response/progress payload shape or the concrete pricing floor rules, which is a modest gap rather than a blocking one.

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 50%, so the description adds needed meaning for several params: thread_colors (embroidery-only, auto-derived from a fixed 15-color palette), print_style (fill vs placed defaults by garment type), generate_mockup (default true), and sync_to_channels (draft semantics). It leaves other params such as workspace, pricing floors specifics, and variants/provider_variant_ids semantics largely to the schema.

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 opens with a specific verb+resource statement ('End-to-end pipeline in ONE call') and enumerates the exact steps it performs: mockup generation/verification, product creation, variant addition, store association, fulfillment sync, optional channel sync. It explicitly contrasts itself with the primitives it replaces (create_product + add_variants + sync_to_fulfillment + sync_to_channel), so an agent can disambiguate it from those siblings without opening any schema.

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

Usage Guidelines5/5

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

Gives an explicit routing rule: 'PREFER this over chaining ... yourself — especially for AUTOMATED or SCHEDULED runs' and a when-not: 'Use the split primitives only when you deliberately need a partial/interactive flow.' It further advises calling find_garments before concluding a design cannot go on a hat, and to check accepts_photoreal rather than assuming.

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

Deploy Server

Other Tools