Neat dms ai readiness 002

Validates that data model has a human-readable description.

What it does

Validates that the data model has a human-readable description.

Why is this bad?

A missing description makes it harder for users (humans or machines) to understand the purpose and scope of the data model. The description provides important context about what domain the data model covers, what use cases it supports, and how it should be used.

Example

A data model has an id CIM, with name Common Information Model, but no description. Users may find it difficult to understand what this data model represents, unless extra context is provided. In this particualar case, name does not provide sufficient information, as it is too generic, that this data model is focused on the electrical power systems domain. However, providing a description such as: "The Common Information Model (CIM) is a standard developed by IEC for representing power system components and their relationships. It is widely used in the electrical utility industry for data exchange and system modeling." would greatly improve clarity and usability.