diff --git a/output/schema/schema-serverless.json b/output/schema/schema-serverless.json
index 86665ba457..aaef08b1d9 100644
--- a/output/schema/schema-serverless.json
+++ b/output/schema/schema-serverless.json
@@ -5041,7 +5041,7 @@
           "stability": "stable"
         }
       },
-      "description": "Close anomaly detection jobs.\nA job can be opened and closed multiple times throughout its lifecycle. A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.\nWhen you close a job, it runs housekeeping tasks such as pruning the model history, flushing buffers, calculating final results and persisting the model snapshots. Depending upon the size of the job, it could take several minutes to close and the equivalent time to re-open. After it is closed, the job has a minimal overhead on the cluster except for maintaining its meta data. Therefore it is a best practice to close jobs that are no longer required to process data.\nIf you close an anomaly detection job whose datafeed is running, the request first tries to stop the datafeed. This behavior is equivalent to calling stop datafeed API with the same timeout and force parameters as the close job request.\nWhen a datafeed that has a specified end date stops, it automatically closes its associated job.",
+      "description": "Close anomaly detection jobs.\n\nA job can be opened and closed multiple times throughout its lifecycle. A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.\nWhen you close a job, it runs housekeeping tasks such as pruning the model history, flushing buffers, calculating final results and persisting the model snapshots. Depending upon the size of the job, it could take several minutes to close and the equivalent time to re-open. After it is closed, the job has a minimal overhead on the cluster except for maintaining its meta data. Therefore it is a best practice to close jobs that are no longer required to process data.\nIf you close an anomaly detection job whose datafeed is running, the request first tries to stop the datafeed. This behavior is equivalent to calling stop datafeed API with the same timeout and force parameters as the close job request.\nWhen a datafeed that has a specified end date stops, it automatically closes its associated job.",
       "docId": "ml-close-job",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-close-job",
@@ -5086,7 +5086,7 @@
           "stability": "stable"
         }
       },
-      "description": "Delete a calendar.\nRemoves all scheduled events from a calendar, then deletes it.",
+      "description": "Delete a calendar.\n\nRemove all scheduled events from a calendar, then delete it.",
       "docId": "ml-delete-calendar",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-delete-calendar",
@@ -5291,7 +5291,7 @@
           "stability": "stable"
         }
       },
-      "description": "Delete a filter.\nIf an anomaly detection job references the filter, you cannot delete the\nfilter. You must update or delete the job before you can delete the filter.",
+      "description": "Delete a filter.\n\nIf an anomaly detection job references the filter, you cannot delete the\nfilter. You must update or delete the job before you can delete the filter.",
       "docId": "ml-delete-filter",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-delete-filter",
@@ -5333,7 +5333,7 @@
           "stability": "stable"
         }
       },
-      "description": "Delete an anomaly detection job.\nAll job configuration, model state and results are deleted.\nIt is not currently possible to delete multiple jobs using wildcards or a\ncomma separated list. If you delete a job that has a datafeed, the request\nfirst tries to delete the datafeed. This behavior is equivalent to calling\nthe delete datafeed API with the same timeout and force parameters as the\ndelete job request.",
+      "description": "Delete an anomaly detection job.\n\nAll job configuration, model state and results are deleted.\nIt is not currently possible to delete multiple jobs using wildcards or a\ncomma separated list. If you delete a job that has a datafeed, the request\nfirst tries to delete the datafeed. This behavior is equivalent to calling\nthe delete datafeed API with the same timeout and force parameters as the\ndelete job request.",
       "docId": "ml-delete-job",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-delete-job",
@@ -5375,7 +5375,7 @@
           "stability": "stable"
         }
       },
-      "description": "Delete an unreferenced trained model.\nThe request deletes a trained inference model that is not referenced by an ingest pipeline.",
+      "description": "Delete an unreferenced trained model.\n\nThe request deletes a trained inference model that is not referenced by an ingest pipeline.",
       "docId": "delete-trained-models",
       "docTag": "ml trained model",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-delete-trained-model",
@@ -5417,7 +5417,7 @@
           "stability": "stable"
         }
       },
-      "description": "Delete a trained model alias.\nThis API deletes an existing model alias that refers to a trained model. If\nthe model alias is missing or refers to a model other than the one identified\nby the `model_id`, this API returns an error.",
+      "description": "Delete a trained model alias.\n\nThis API deletes an existing model alias that refers to a trained model. If\nthe model alias is missing or refers to a model other than the one identified\nby the `model_id`, this API returns an error.",
       "docId": "delete-trained-models-aliases",
       "docTag": "ml trained model",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-delete-trained-model-alias",
@@ -5462,7 +5462,7 @@
           "stability": "stable"
         }
       },
-      "description": "Estimate job model memory usage.\nMakes an estimation of the memory usage for an anomaly detection job model.\nIt is based on analysis configuration details for the job and cardinality\nestimates for the fields it references.",
+      "description": "Estimate job model memory usage.\n\nMake an estimation of the memory usage for an anomaly detection job model.\nThe estimate is based on analysis configuration details for the job and cardinality\nestimates for the fields it references.",
       "docId": "ml-estimate-memory",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-estimate-model-memory",
@@ -5507,7 +5507,7 @@
           "stability": "stable"
         }
       },
-      "description": "Evaluate data frame analytics.\nThe API packages together commonly used evaluation metrics for various types\nof machine learning features. This has been designed for use on indexes\ncreated by data frame analytics. Evaluation requires both a ground truth\nfield and an analytics result field to be present.",
+      "description": "Evaluate data frame analytics.\n\nThe API packages together commonly used evaluation metrics for various types\nof machine learning features. This has been designed for use on indexes\ncreated by data frame analytics. Evaluation requires both a ground truth\nfield and an analytics result field to be present.",
       "docId": "evaluate-dfanalytics",
       "docTag": "ml data frame",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-evaluate-data-frame",
@@ -6220,7 +6220,7 @@
           "stability": "stable"
         }
       },
-      "description": "Open anomaly detection jobs.\nAn anomaly detection job must be opened to be ready to receive and analyze\ndata. It can be opened and closed multiple times throughout its lifecycle.\nWhen you open a new job, it starts with an empty model.\nWhen you open an existing job, the most recent model state is automatically\nloaded. The job is ready to resume its analysis from where it left off, once\nnew data is received.",
+      "description": "Open anomaly detection jobs.\n\nAn anomaly detection job must be opened to be ready to receive and analyze\ndata. It can be opened and closed multiple times throughout its lifecycle.\nWhen you open a new job, it starts with an empty model.\nWhen you open an existing job, the most recent model state is automatically\nloaded. The job is ready to resume its analysis from where it left off, once\nnew data is received.",
       "docId": "ml-open-job",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-open-job",
@@ -6651,7 +6651,7 @@
           "stability": "stable"
         }
       },
-      "description": "Create an anomaly detection job.\nIf you include a `datafeed_config`, you must have read index privileges on the source index.\nIf you include a `datafeed_config` but do not provide a query, the datafeed uses `{\"match_all\": {\"boost\": 1}}`.",
+      "description": "Create an anomaly detection job.\n\nIf you include a `datafeed_config`, you must have read index privileges on the source index.\nIf you include a `datafeed_config` but do not provide a query, the datafeed uses `{\"match_all\": {\"boost\": 1}}`.",
       "docId": "ml-put-job",
       "docTag": "ml anomaly",
       "docUrl": "https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-put-job",
@@ -26853,7 +26853,7 @@
           }
         ]
       },
-      "description": "Close anomaly detection jobs.\nA job can be opened and closed multiple times throughout its lifecycle. A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.\nWhen you close a job, it runs housekeeping tasks such as pruning the model history, flushing buffers, calculating final results and persisting the model snapshots. Depending upon the size of the job, it could take several minutes to close and the equivalent time to re-open. After it is closed, the job has a minimal overhead on the cluster except for maintaining its meta data. Therefore it is a best practice to close jobs that are no longer required to process data.\nIf you close an anomaly detection job whose datafeed is running, the request first tries to stop the datafeed. This behavior is equivalent to calling stop datafeed API with the same timeout and force parameters as the close job request.\nWhen a datafeed that has a specified end date stops, it automatically closes its associated job.",
+      "description": "Close anomaly detection jobs.\n\nA job can be opened and closed multiple times throughout its lifecycle. A closed job cannot receive data or perform analysis operations, but you can still explore and navigate results.\nWhen you close a job, it runs housekeeping tasks such as pruning the model history, flushing buffers, calculating final results and persisting the model snapshots. Depending upon the size of the job, it could take several minutes to close and the equivalent time to re-open. After it is closed, the job has a minimal overhead on the cluster except for maintaining its meta data. Therefore it is a best practice to close jobs that are no longer required to process data.\nIf you close an anomaly detection job whose datafeed is running, the request first tries to stop the datafeed. This behavior is equivalent to calling stop datafeed API with the same timeout and force parameters as the close job request.\nWhen a datafeed that has a specified end date stops, it automatically closes its associated job.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -26920,7 +26920,7 @@
           }
         }
       ],
-      "specLocation": "ml/close_job/MlCloseJobRequest.ts#L24-L84"
+      "specLocation": "ml/close_job/MlCloseJobRequest.ts#L24-L85"
     },
     {
       "body": {
@@ -26953,7 +26953,7 @@
       "body": {
         "kind": "no_body"
       },
-      "description": "Delete a calendar.\nRemoves all scheduled events from a calendar, then deletes it.",
+      "description": "Delete a calendar.\n\nRemove all scheduled events from a calendar, then delete it.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -26980,7 +26980,7 @@
         }
       ],
       "query": [],
-      "specLocation": "ml/delete_calendar/MlDeleteCalendarRequest.ts#L23-L44"
+      "specLocation": "ml/delete_calendar/MlDeleteCalendarRequest.ts#L23-L45"
     },
     {
       "body": {
@@ -27318,7 +27318,7 @@
       "body": {
         "kind": "no_body"
       },
-      "description": "Delete a filter.\nIf an anomaly detection job references the filter, you cannot delete the\nfilter. You must update or delete the job before you can delete the filter.",
+      "description": "Delete a filter.\n\nIf an anomaly detection job references the filter, you cannot delete the\nfilter. You must update or delete the job before you can delete the filter.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27345,7 +27345,7 @@
         }
       ],
       "query": [],
-      "specLocation": "ml/delete_filter/MlDeleteFilterRequest.ts#L23-L47"
+      "specLocation": "ml/delete_filter/MlDeleteFilterRequest.ts#L23-L48"
     },
     {
       "body": {
@@ -27372,7 +27372,7 @@
       "body": {
         "kind": "no_body"
       },
-      "description": "Delete an anomaly detection job.\nAll job configuration, model state and results are deleted.\nIt is not currently possible to delete multiple jobs using wildcards or a\ncomma separated list. If you delete a job that has a datafeed, the request\nfirst tries to delete the datafeed. This behavior is equivalent to calling\nthe delete datafeed API with the same timeout and force parameters as the\ndelete job request.",
+      "description": "Delete an anomaly detection job.\n\nAll job configuration, model state and results are deleted.\nIt is not currently possible to delete multiple jobs using wildcards or a\ncomma separated list. If you delete a job that has a datafeed, the request\nfirst tries to delete the datafeed. This behavior is equivalent to calling\nthe delete datafeed API with the same timeout and force parameters as the\ndelete job request.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27438,7 +27438,7 @@
           }
         }
       ],
-      "specLocation": "ml/delete_job/MlDeleteJobRequest.ts#L23-L71"
+      "specLocation": "ml/delete_job/MlDeleteJobRequest.ts#L23-L72"
     },
     {
       "body": {
@@ -27465,7 +27465,7 @@
       "body": {
         "kind": "no_body"
       },
-      "description": "Delete an unreferenced trained model.\nThe request deletes a trained inference model that is not referenced by an ingest pipeline.",
+      "description": "Delete an unreferenced trained model.\n\nThe request deletes a trained inference model that is not referenced by an ingest pipeline.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27518,7 +27518,7 @@
           }
         }
       ],
-      "specLocation": "ml/delete_trained_model/MlDeleteTrainedModelRequest.ts#L24-L56"
+      "specLocation": "ml/delete_trained_model/MlDeleteTrainedModelRequest.ts#L24-L57"
     },
     {
       "body": {
@@ -27545,7 +27545,7 @@
       "body": {
         "kind": "no_body"
       },
-      "description": "Delete a trained model alias.\nThis API deletes an existing model alias that refers to a trained model. If\nthe model alias is missing or refers to a model other than the one identified\nby the `model_id`, this API returns an error.",
+      "description": "Delete a trained model alias.\n\nThis API deletes an existing model alias that refers to a trained model. If\nthe model alias is missing or refers to a model other than the one identified\nby the `model_id`, this API returns an error.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27584,7 +27584,7 @@
         }
       ],
       "query": [],
-      "specLocation": "ml/delete_trained_model_alias/MlDeleteTrainedModelAliasRequest.ts#L23-L52"
+      "specLocation": "ml/delete_trained_model_alias/MlDeleteTrainedModelAliasRequest.ts#L23-L53"
     },
     {
       "body": {
@@ -27671,7 +27671,7 @@
           }
         ]
       },
-      "description": "Estimate job model memory usage.\nMakes an estimation of the memory usage for an anomaly detection job model.\nIt is based on analysis configuration details for the job and cardinality\nestimates for the fields it references.",
+      "description": "Estimate job model memory usage.\n\nMake an estimation of the memory usage for an anomaly detection job model.\nThe estimate is based on analysis configuration details for the job and cardinality\nestimates for the fields it references.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27685,7 +27685,7 @@
       },
       "path": [],
       "query": [],
-      "specLocation": "ml/estimate_model_memory/MlEstimateModelMemoryRequest.ts#L26-L70"
+      "specLocation": "ml/estimate_model_memory/MlEstimateModelMemoryRequest.ts#L26-L71"
     },
     {
       "body": {
@@ -27758,7 +27758,7 @@
           }
         ]
       },
-      "description": "Evaluate data frame analytics.\nThe API packages together commonly used evaluation metrics for various types\nof machine learning features. This has been designed for use on indexes\ncreated by data frame analytics. Evaluation requires both a ground truth\nfield and an analytics result field to be present.",
+      "description": "Evaluate data frame analytics.\n\nThe API packages together commonly used evaluation metrics for various types\nof machine learning features. This has been designed for use on indexes\ncreated by data frame analytics. Evaluation requires both a ground truth\nfield and an analytics result field to be present.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -27772,7 +27772,7 @@
       },
       "path": [],
       "query": [],
-      "specLocation": "ml/evaluate_data_frame/MlEvaluateDataFrameRequest.ts#L25-L60"
+      "specLocation": "ml/evaluate_data_frame/MlEvaluateDataFrameRequest.ts#L25-L61"
     },
     {
       "body": {
@@ -29726,7 +29726,7 @@
           }
         ]
       },
-      "description": "Open anomaly detection jobs.\nAn anomaly detection job must be opened to be ready to receive and analyze\ndata. It can be opened and closed multiple times throughout its lifecycle.\nWhen you open a new job, it starts with an empty model.\nWhen you open an existing job, the most recent model state is automatically\nloaded. The job is ready to resume its analysis from where it left off, once\nnew data is received.",
+      "description": "Open anomaly detection jobs.\n\nAn anomaly detection job must be opened to be ready to receive and analyze\ndata. It can be opened and closed multiple times throughout its lifecycle.\nWhen you open a new job, it starts with an empty model.\nWhen you open an existing job, the most recent model state is automatically\nloaded. The job is ready to resume its analysis from where it left off, once\nnew data is received.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -29767,7 +29767,7 @@
           }
         }
       ],
-      "specLocation": "ml/open_job/MlOpenJobRequest.ts#L24-L66"
+      "specLocation": "ml/open_job/MlOpenJobRequest.ts#L24-L67"
     },
     {
       "body": {
@@ -31473,7 +31473,7 @@
           }
         ]
       },
-      "description": "Create an anomaly detection job.\nIf you include a `datafeed_config`, you must have read index privileges on the source index.\nIf you include a `datafeed_config` but do not provide a query, the datafeed uses `{\"match_all\": {\"boost\": 1}}`.",
+      "description": "Create an anomaly detection job.\n\nIf you include a `datafeed_config`, you must have read index privileges on the source index.\nIf you include a `datafeed_config` but do not provide a query, the datafeed uses `{\"match_all\": {\"boost\": 1}}`.",
       "inherits": {
         "type": {
           "name": "RequestBase",
@@ -31557,7 +31557,7 @@
           }
         }
       ],
-      "specLocation": "ml/put_job/MlPutJobRequest.ts#L30-L156"
+      "specLocation": "ml/put_job/MlPutJobRequest.ts#L30-L157"
     },
     {
       "body": {