Update docs/resources/cluster.md

docs/resources/cluster.md

@@ -51,7 +51,7 @@ resource "databricks_cluster" "shared_autoscaling" {
 * `custom_tags` - (Optional) Additional tags for cluster resources. Databricks will tag all cluster resources (e.g., AWS EC2 instances and EBS volumes) with these tags in addition to `default_tags`. If a custom cluster tag has the same name as a default cluster tag, the custom tag is prefixed with an `x_` when it is propagated.
 * `spark_conf` - (Optional) Map with key-value pairs to fine-tune Spark clusters, where you can provide custom [Spark configuration properties](https://spark.apache.org/docs/latest/configuration.html) in a cluster configuration.
 * `is_pinned` - (Optional) boolean value specifying if the cluster is pinned (not pinned by default). You must be a Databricks administrator to use this.  The pinned clusters' maximum number is [limited to 100](https://docs.databricks.com/clusters/clusters-manage.html#pin-a-cluster), so `apply` may fail if you have more than that (this number may change over time, so check Databricks documentation for actual number).
-* `no_wait` - (Optional) boolean value specifying if the provider doesn't need to wait for the cluster to be started when creating it. Defaults to false.
+* `no_wait` - (Optional) If true, the provider will not wait for the cluster to reach `RUNNING` state when creating the cluster, allowing cluster creation and library installation to continue asynchronously. Defaults to false (the provider will wait for cluster creation and library installation to succeed).
 
 The following example demonstrates how to create an autoscaling cluster with [Delta Cache](https://docs.databricks.com/delta/optimizations/delta-cache.html) enabled: