- `serialise`/`deserialise` to produce/consume machine-readable data; must be mutually inverse (which rules out your example of functions).
- `pretty-print` for human consumption; has no inverse.
As a MVP, these could just be wrappers around `read` and `write` (macros would prevent any runtime overhead); the names convey the intended meaning. Later on we could start enforcing some checks, but since Lisp is dynamically typed, we'd have to do runtime tag-checking (e.g. "if type of 'X' is 'function', throw an error"). A static type system/checker would be better.
More generally, each application should be responsible for parsing its input into a domain-specific model, with machine-checked types. A pair of communicating applications may choose to delegate that responsibility to some common library, but they should not assume that their input can be trusted since it's 'coming from that other system'; e.g. they shouldn't pass around a `String` of input as if it were a domain object, and mangle it by pull out particular characters, concatenating things, etc. That `String` should be parsed into its components ASAP, and those should be passed around.
You're right that "apps hungarian" is another possible approach: slightly better than just documentation, but still not manchine-checked. I think the history of apps hungarian degenerating into systems hungarian is another example of this type/representation conflation.
An obvious example is printing: All of a sudden, you need to convert an object of that type to a representation that can be read. Read by what? Humans? Other code? Both to some extent? The representation is dependent upon both the original type and the intended recipient.
(In Lisp, "readable" means "acceptable to the read function, which parses Lisp expressions"; some objects, such as compiled functions, inherently cannot become "readable" in this sense, so they get printed in an unreadable form. Should that be a type error?)
You can even have layers of representation: Length is a type of value, whether it's expressed in inches or centimeters or light-seconds is a representation, and whether it's in ints or floats or strings is another layer to the representation. You can add inches to centimeters with the right conversion, much like you can add numerical values represented ints and strings with the right conversions. The conversions just have to be at the right layer of representation.
Your ideas sound a lot like the original Hungarian notation, BTW: If your language-level types are representations (as in, your type system says int and float, as opposed to semantic notions like pixels-from-edge or alpha-percentage) you can encode the real type information in variable names. People mutilated this to encoding language-level type information in variable names, which is utterly pointless and potentially harmful.