Update per per nit feedback

Author: adam-christian-software

site/content/in-dev/unreleased/generic-table.md

@@ -164,4 +164,4 @@ There are some known limitations for the generic table support:
 1. Generic tables provide limited spec information. For example, there is no spec for Schema or Partition. 
 2. There is no commit coordination provided by Polaris. It is the responsibility of the engine to coordinate loading and committing data. The catalog is only aware of the generic table fields above.
 3. There is no update capability provided by Polaris. Any update to a generic table must be done through a drop and create.
-4. Generic tables do not support credential vending.
+4. Generic tables APIs do not support credential vending.

site/content/in-dev/unreleased/polaris-spark-client.md

@@ -124,7 +124,7 @@ The following describes the current limitations of the Polaris Spark client:
 
 ### General Limitations
 1. The Polaris Spark client only supports Iceberg and Delta tables. It does not support other table formats like CSV, JSON, etc.
-2. Generic tables (non-Iceberg tables) do not currently support credential vending.
+2. Generic tables (non-Iceberg tables) APIs do not currently support credential vending.
 
 ### Delta Table Limitations
 1. Create table as select (CTAS) is not supported for Delta tables. As a result, the `saveAsTable` method of `Dataframe`