# ads_list_recommendations (https://sellersheetai.com/docs/mcp-api/tools/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.

Access: **READ** · toolset amazon_ads · family ads.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

MCP tool call:

```json
{
  "name": "ads_list_recommendations",
  "arguments": {
    "store": "myStore-US",
    "countryCode": "<countryCode>"
  }
}
```

Tool API (early access — contact us):

```bash
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>"}'
```

## Arguments

| Name | Type | Required | Description |
|---|---|---|---|
| `store` | string | yes | the store ref `<store>-<CC>` (name-country, e.g. 'myStore-US') — one of get_user_context's store_refs, verbatim. |
| `countryCode` | string | yes | 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

- 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").