ads_list_recommendations
List Amazon-generated recommendations for SP, SB, SD and ST campaigns (budget, bid, bidding strategy, new keywords, new campaigns, …) — filter by AD_PRODUCT.
readAmazon Adsads.recommendations
To accept some use ads_apply_recommendations; to modify one before accepting use ads_update_recommendation. Amazon Ads API · ListRecommendations · POST /recommendations/list
Call it
In an AI client (MCP)
{
"name": "ads_list_recommendations",
"arguments": {
"store": "myStore-US",
"countryCode": "<countryCode>"
}
}From code (Tool API)
curl -X POST https://api.sellersheetai.com/api/v1/tools/ads_list_recommendations \
-H "Authorization: Bearer $SELLERSHEET_API_KEY" \
-H "Content-Type: application/json" \
-d '{"store":"myStore-US","countryCode":"<countryCode>"}'Early access — the Tool API is open on request, contact us.
Arguments
| Name | Type | Description |
|---|---|---|
storerequired | string | the store ref `<store>-<CC>` (name-country, e.g. 'myStore-US') — one of get_user_context's store_refs, verbatim. |
countryCoderequired | string | the Ads profile's 2-letter country code (e.g. 'US'). |
body | object | optional {filters: [{field, operator: EXACT, values}], maxResults, nextToken, locale} — e.g. {filters: [{field: 'AD_PRODUCT', operator: 'EXACT', values: ['SP']}]}. |
Result
Every tool answers {notification, data, human_action}; data carries:
- Amazon's payload in data.result.
data.result.recommendations[]— max 500 per page, each with recommendationId, recommendationType, status, recommendedValue.data.result.nextToken / data.result.totalResults— pass nextToken back as body.nextToken for the next page.
Gotchas
- This is NOT keyword suggestions — use ads_get_ranked_keyword_recommendation for those. Amazon generates these from campaign performance signals (e.g. "increase budget", "enable suggested bid", "add suggested keywords").