The article introduces JSON Structure, a new data definition language aimed at improving how JSON-encoded data is defined and used, particularly for code generation and data interchange. JSON Schema has its limitations, especially with complex constructs, often frustrating developers trying to use it for tasks it wasn't designed for, like code generation or database mapping. JSON Structure addresses these issues by providing a strictly typed framework that enhances clarity and usability across various programming languages. One significant feature of JSON Structure is its support for precise numeric types, rich date/time formats, and extended compound types like sets and maps. This allows for a more nuanced representation of data. For example, currency values can be defined with specific precision and scale to avoid floating-point inaccuracies. The schema also includes a unique `choice` type, which functions as a discriminated union, enabling different structures for various statuses in an order event, such as `shipped` or `delivered`. The article emphasizes the importance of schema clarity in messaging systems, especially when different teams or languages are involved. JSON Structure's design accommodates this polyglot environment by ensuring that schemas can generate clean, usable code in languages like C#, Python, and TypeScript from a single source. This capability is essential for maintaining effective communication between producers and consumers of data, particularly in systems that rely on services like Azure's Service Bus or Event Hubs.