folding in williams' feedback

website/docs/best-practices/how-we-build-our-metrics/semantic-layer-4-build-metrics.md

@@ -36,7 +36,7 @@ metrics:
 
 Use [MetricFlow commands](/docs/build/metricflow-commands#metricflow) for metric validation or queries during development, and apply the following conventions based on your environment:
 
-- For dbt Cloud, use the `dbt sl` prefix before the command (such as, `dbt sl parse` or `dbt sl query`).
+- For dbt Cloud, use the `dbt sl` prefix before the command (such as, `dbt sl query`).
 - For dbt Core, use the `mf` prefix (such as `mf validate-configs` or `mf query)`.
 
 Follow these best practices when updating your semantic layer code, using the `mf` command as an example (replace `mf` with `dbt sl` if you're using dbt Cloud):

website/docs/docs/build/metricflow-commands.md

@@ -179,8 +179,9 @@ Options:
 
 ### Validate-configs
 
-This command performs validations against the defined semantic model configurations:
-<!--dbt sl validate-configs # In dbt Cloud-->
+The following command performs validations against the defined semantic model configurations.
+
+Note, in dbt Cloud you don't need to validate the Semantic Layer config separately. Running a dbt command (such as `dbt parse`, `dbt build`, `dbt compile`, `dbt run`) automatically checks it.
 
 ```bash
 
@@ -205,11 +206,12 @@ Options:
 
 ### Health checks
 
-This command performs a health check against the data platform you provided in the configs:
-<!--dbt sl health-checks # In dbt Cloud-->
+The following command performs a health check against the data platform you provided in the configs. 
+
+Note, in dbt Cloud the `health-checks` command isn't required since it uses dbt Cloud's credentials to perform the health check.
 
 ```bash
-mf health-checks #in dbt Core
+mf health-checks # In dbt Core
 ```
 
 ### Tutorial