### Elasticsearch Version

all serverless

### Installed Plugins

_No response_

### Java Version

_bundled_

### OS Version

all

### Problem Description

Creating a time series instance in Serverless fails with the following error:

```
elasticsearch.exceptions.RequestError: RequestError(400, 'illegal_argument_exception', 'Settings [index.time_series.end_time,index.time_series.start_time,index.routing_path] are not available when running in serverless mode')
```

### Steps to Reproduce

I used a custom Python client script to create an index

```
from elasticsearch import Elasticsearch
import sys
import argparse
import os

if os.environ.get('API_KEY') is None or os.environ.get('ELASTICSEARCH_URL') is None:
    print(f"Missing environment variables 'API_KEY' and 'ELASTICSEARCH_URL'")

api_key = os.environ.get("API_KEY")
elasticsearch_url = os.environ.get("ELASTICSEARCH_URL")

print(f"Using api key: {api_key}")
print(f"Using Elasticsearch url: {elasticsearch_url}")

client = Elasticsearch(
  elasticsearch_url,
  api_key=api_key
)

parser = argparse.ArgumentParser(description='Elasticsearch TSDB indexing')
parser.add_argument('dataset', help='The set of documents to index as a Json file')
parser.add_argument('index', help='The index where data will be indexed')

args = parser.parse_args()

mappings = {
    "settings": {
      "index": {
        "mapping.total_fields.limit": 10000,
        "codec": "default",
        "routing_path": [
          "cloud_region",
          "pod_id"
        ],
        "time_series": {
          "start_time": "2023-09-01T00:00:00",
          "end_time": "2023-09-30T23:59:59"
        }
      }
    },
    "mappings": {
        "properties": {
            "@timestamp": {
                "type": "date"
            },
            "cloud_region": {
                "type": "keyword",
                "time_series_dimension": "true"
            },
            "pod_id": {
                "type": "keyword",
                "time_series_dimension": "true"
            },
            "counter": {
                "type": "integer",
                "time_series_metric": "counter"
            },
            "gauge": {
                "type": "double",
                "time_series_metric": "gauge"
            }
        }
    }
}


delete_response = client.indices.delete(
    index=args.index,
    ignore_unavailable=True
)
print(f"Delete response: {delete_response}")

create_response = client.indices.create(
    args.index,
    body=mappings
)
print(f"Create response: {create_response}")
```

### Logs (if relevant)

_No response_
server/src/main/java/org/elasticsearch/cluster/metadata/IndexMetadata.java
false,
        false,
        RestStatus.FORBIDDEN,
        EnumSet.of(ClusterBlockLevel.WRITE)
    );
    public static final ClusterBlock INDEX_METADATA_BLOCK = new ClusterBlock(
        9,
        "index metadata (api)",
        false,
        false,
        false,
        RestStatus.FORBIDDEN,
        EnumSet.of(ClusterBlockLevel.METADATA_WRITE, ClusterBlockLevel.METADATA_READ)
    );
    public static final ClusterBlock INDEX_READ_ONLY_ALLOW_DELETE_BLOCK = new ClusterBlock(
        12,
        "disk usage exceeded flood-stage watermark, index has read-only-allow-delete block",
        false,
        false,
        true,
        RestStatus.TOO_MANY_REQUESTS,
        EnumSet.of(ClusterBlockLevel.WRITE)
    );
    
    public boolean isDownsampledIndex() {
        final String sourceIndex = settings.get(IndexMetadata.INDEX_DOWNSAMPLE_SOURCE_NAME_KEY);
        final String indexDownsamplingStatus = settings.get(IndexMetadata.INDEX_DOWNSAMPLE_STATUS_KEY);
        final boolean downsamplingSuccess = DownsampleTaskStatus.SUCCESS.name()
            .toLowerCase(Locale.ROOT)
            .equals(indexDownsamplingStatus != null ? indexDownsamplingStatus.toLowerCase(Locale.ROOT) : DownsampleTaskStatus.UNKNOWN);