diff --git a/VTEX - Intelligent Search API.json b/VTEX - Intelligent Search API.json
index b7d926a5d..477585787 100644
--- a/VTEX - Intelligent Search API.json	
+++ b/VTEX - Intelligent Search API.json	
@@ -1179,7 +1179,7 @@
                 "in": "path",
                 "name": "facets",
                 "required": true,
-                "description": "## Format\r\n\r\nThe `facets` parameter follows the format: `/${facetKey1}/${facetValue1}/${facetKey2}/${facetValue2}/.../${facetKeyN}/${facetValueN}`.\r\n\r\nThe order in which the terms appear is not relevant to the search.\r\n\r\nYou can also repeat the same `facetKey` several times for different values. For example: `category-1/shoes/color/blue/color/red/color/yellow`.\r\n\r\n## General filters\r\n\r\nThe `facets` parameter also allows the following general filters:\r\n\r\n| `facetKey` | Description | Example |\r\n| - | - | - |\r\n| `price` | Filter the search by a price range, following the format `${minPrice}:${maxPrice}`. | `/color/blue/price/100:500?query=shirt` |\r\n| `category-${n}` | Filter the search by category, where `n` represents the category tree level (1 = department, 2 = category, 3 = subcategory, and so on). | `category-1/clothing/category-2/shirts` |\r\n| `productClusterIds` | Filter the search by collection, following the format `productClusterIds/{collectionId}`. | `productClusterIds/262` |\r\n| `trade-policy` |  Filter the search by trade policy (also known as sales channel), following the format `trade-policy/{tradePolicyId}`. | `trade-policy/2`|\n",
+                "description": "## Format\r\n\r\nThe `facets` parameter follows the format: `/${facetKey1}/${facetValue1}/${facetKey2}/${facetValue2}/.../${facetKeyN}/${facetValueN}`.\r\n\r\nThe order in which the terms appear is not relevant to the search.\r\n\r\nYou can also repeat the same `facetKey` several times for different values. For example: `category-1/shoes/color/blue/color/red/color/yellow`.\r\n\r\n## General filters\r\n\r\nThe `facets` parameter also allows the following general filters:\r\n\r\n| `facetKey` | Description | Example |\r\n| - | - | - |\r\n| `price` | Filter the search by a price range, following the format `${minPrice}:${maxPrice}`. | `/color/blue/price/100:500?query=shirt` |\r\n| `category-${n}` | Filter the search by category, where `n` represents the category tree level (1 = department, 2 = category, 3 = subcategory, and so on). | `category-1/clothing/category-2/shirts` |\r\n| `productClusterIds` | Filter the search by collection, following the format `productClusterIds/{collectionId}`. | `productClusterIds/262` |\r\n| `trade-policy` |  Filter the search by trade policy (also known as sales channel), following the format `trade-policy/{tradePolicyId}`. | `trade-policy/2`| |\r\n| `zip-code` | Filter the search by the zip code. It also adds delivery promise filters to the API return. The `coordinates` filter is also required. | `zip-code/22250040` |\r\n| `coordinates` |  Filter the search by geographic coordinates, following the format `coordinates/{longitude},{latitude}`. It also adds delivery promise filters to the API return. The `zip-code`filter is also required | `coordinates/-43.18218231201172,-22.94549560546875`| |\r\n| `pickupPoint` | The API result will contain a filter with the option to filter the search by pickup point. | `pickupPoint/myPickupPoint`|\n",
                 "example": "category-1/clothing/category-2/shirt/category-3/man",
                 "schema": {
                     "nullable": true,