Update metricflow-commands.md

add gotcha

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

@@ -6,11 +6,11 @@ sidebar_label: "MetricFlow commands"
 tags: [Metrics, Semantic Layer]
 ---
 
-Once you define metrics in your dbt project, you can query metrics, dimensions, dimension values, and validate your configs using the MetricFlow commands. 
+Once you define metrics in your dbt project, you can query metrics, dimensions, and dimension values, and validate your configs using the MetricFlow commands. 
 
 MetricFlow allows you to define and query metrics in your dbt project in the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation), [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud), or [dbt Core](/docs/core/installation). To experience the power of the universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and dynamically query those metrics in downstream tools, you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. 
 
-MetricFlow is compatible with Python versions 3.8, 3.9, 3.10 and 3.11.
+MetricFlow is compatible with Python versions 3.8, 3.9, 3.10, and 3.11.
 
 
 ## MetricFlow
@@ -25,7 +25,7 @@ MetricFlow is a dbt package that allows you to define and query metrics in your
 
 MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning for you.
+A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning.
 
 </TabItem>
 
@@ -44,11 +44,11 @@ You can create metrics using MetricFlow in the dbt Cloud IDE. However, support f
 
 Use the dbt Cloud CLI for the experience in defining and querying metrics in your dbt project on dbt Cloud or dbt Core with MetricFlow. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning for you.
+A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning.
 :::
 
 
-You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to instal MetricFlow on Windows or Linux operating systems:
+You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems:
 
 1. Create or activate your virtual environment`python -m venv venv`
 2. Run `pip install dbt-metricflow`
@@ -60,6 +60,7 @@ You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-star
 
 </Tabs>
 
+Something to note, MetricFlow `mf` commands return an error if you have a Metafont latex package installed. To run `mf` commands, uninstall the package.
 
 ## MetricFlow commands
 
@@ -552,3 +553,4 @@ Keep in mind that modifying your shell configuration files can have an impact on
 </details>
 
 </details>
+