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

@@ -78,7 +78,7 @@ You can use the `dbt sl` prefix before the command name to execute them in the d
 - [`query`](#query) — Query metrics, saved queries, and dimensions you want to see in the command line interface. Refer to [query examples](#query-examples) to help you get started.
 - [`export`](#export) —  Runs exports for a singular saved query for testing and generating exports in your development environment. You can also use the `--select` flag to specify particular exports from a saved query.
 - [`export-all`](#export-all) — Runs exports for multiple saved queries at once, saving time and effort.
-- [`validate-configs`](#validate-configs) — Validates semantic model configurations.
+- [`validate`](#validate) — Validates semantic model configurations.
 
 <!--below commands aren't supported in dbt cloud yet
 - [`health-checks`](#health-checks) &mdash; Performs data platform health check.
@@ -222,7 +222,7 @@ The list of available saved queries:
 The following command performs validations against the defined semantic model configurations.
 
 ```bash
-dbt sl validate-configs # dbt Cloud users
+dbt sl validate # dbt Cloud users
 mf validate-configs # In dbt Core
 
 Options:

website/docs/docs/build/validation.md

@@ -17,7 +17,7 @@ The code that handles validation [can be found here](https://github.com/dbt-labs
 You can run validations from dbt Cloud or the command line with the following [MetricFlow commands](/docs/build/metricflow-commands). In dbt Cloud, you need developer credentials to run `dbt sl validate-configs` in the IDE or CLI, and deployment credentials to run it in CI.
 
 ```bash
-dbt sl validate-configs # dbt Cloud users
+dbt sl validate # dbt Cloud users
 mf validate-configs # dbt Core users
 ```