noon_content_load_publish_queue_content
Load an existing noon product into a noon Publish Queue sheet for editing — one GetContent shaped onto the sheet's row-5 keys, with the columns the sheet still lacks and the produc
readnoon
t's category. Write data.cells by key, append data.new_columns at the right end, then change the product with noon_content_UpsertProduct. noon returns no child SKUs.
Call it
In an AI client (MCP)
{
"name": "noon_content_load_publish_queue_content",
"arguments": {
"store": "myStore-US",
"sku_parent": "<sku_parent>"
}
}From code (Tool API)
curl -X POST https://api.sellersheetai.com/api/v1/tools/noon_content_load_publish_queue_content \
-H "Authorization: Bearer $SELLERSHEET_API_KEY" \
-H "Content-Type: application/json" \
-d '{"store":"myStore-US","sku_parent":"<sku_parent>"}'Early access — the Tool API is open on request, contact us.
Arguments
| Name | Type | Description |
|---|---|---|
storerequired | string | the noon account ref `<account>-<CC>` (name-country, e.g. 'myNoon-AE') — one of get_user_context's noon store_refs, verbatim. |
sku_parentrequired | string | the product's noon id (Z…), the sheet's Parent Group Key (required). |
keys | object[] | the sheet's row-5 keys in column order (read_sheet row 5); omitted = every attribute comes back as a new column. |
language | string | the sheet's Language cell — 'en' or 'en_ar'; a new localizable column gets `_en` only, or `_en` and `_ar`.Default: "en" |
Result
Every tool answers {notification, data, human_action}; data carries:
data.cells— {row-5 key: cell text} — several values one per line, images by slot.data.new_columns— [{key, name, guide, attribute_code, language, multivalued}] — attributes noon holds that the sheet has no column for.data.category_code— the product's category, derived from noon's own data ('' when noon's data is incomplete).data.content— GetContent's response — sku_parent, attributes, images, statuses.