What matters most of all is whether the DSL is written in semantically meaningful tokens. Two extremes as examples:
Regex is a DSL that is not written in tokens that have inherent semantic meaning. LLM's can only understand Regex by virtue of the fact that it has been around for a long time and there are millions of examples for the LLM to work from. And even then LLM's still struggle with reading and writing Regex.
Tailwind is an example of a DSL is that is very semantically rich. When an LLM sees: `class="text-3xl font-bold underline"` it pretty much knows what that means out of the box, just like a human does.
Basically, a fresh new DSL can succeed much faster if it is closer to Tailwind than it is to Regex. The other side of DSL's is that they tend to be concise, and that can actually be a great thing for LLM's: more concise, equals less tokens, equals faster coding agents and faster responses from prompts. But too much conciseness (in the manner of Regex), leads to semantically confusing syntax, and then LLM's struggle.