I'm not sure if this is an issue in the Chef API, as it behaves the same way 
since Chef 10. Perhaps this has gone unnoticed since then, but given that the 
API behavior has not changed I tend to think this is an issue in our side. If 
we had built the API by looking at the real responses instead of taking the 
docs as an example, this issue should have not appeared.

Anyway, let's see what Chef ninjas have to say in the thread @noorul has opened 
in the ML and then document this accordingly.

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