clarify builtin macros aren't overridden via package

website/docs/reference/dbt-jinja-functions/builtins.md

@@ -27,6 +27,8 @@ From dbt v1.5 and higher, use the following macro to override the `ref` method a
 
 It includes logic to extract user-provided arguments, including <code>version</code>, and call the <code>builtins.ref()</code> function with either a single <code>modelname</code> argument or both <code>packagename</code> and <code>modelname</code> arguments, based on the number of positional arguments in <code>varargs</code>.
 
+Note that the `ref`, `source`, and `config` functions can't be overridden with a package. This is because `ref`, `source`, and `config` are context properties within dbt and are not dispatched as global macros. Refer to [this GitHub discussion](https://github.com/dbt-labs/dbt-core/issues/4491#issuecomment-994709916) for more context.
+
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website/docs/reference/dbt-jinja-functions/dispatch.md

@@ -145,6 +145,10 @@ As a package maintainer, this functionality enables users of my package to exten
 
 ### Overriding global macros
 
+:::tip
+Certain functions like [`ref`](/reference/dbt-jinja-functions/ref), [`source`](/reference/dbt-jinja-functions/source), and [`config`](/reference/dbt-jinja-functions/config) can't be overridden with a package using the dispatch config. This is because `ref`, `source`, and `config` are context properties within dbt and are not dispatched as global macros. Refer to [this GitHub discussion](https://github.com/dbt-labs/dbt-core/issues/4491#issuecomment-994709916) for more context.
+:::
+
 I maintain an internal utility package at my organization, named `my_org_dbt_helpers`. I use this package to reimplement built-in dbt macros on behalf of all my dbt-using colleagues, who work across a number of dbt projects.
 
 My package can define custom versions of any dispatched global macro I choose, from `generate_schema_name` to `test_unique`. I can define a new default version of that macro (e.g. `default__generate_schema_name`), or custom versions for specific <Term id="data-warehouse" /> adapters (e.g. `spark__generate_schema_name`).