A friend built https://memelang.net/08/ which claims "Memelang is an AI-optimized query language that significantly reduces token count and model size for LLM RAG. Copy-and-paste the Python spec below into your LLM."

Is it possible that this language would make AI agents better at retrieving data either in terms of cost or accuracy? For example, might an AI Agent calling tools be more efficient than just using standard SQL or similar? How would you design a test or set of tests to figure out the benefits?

I would like to help him prove the cost or accuracy benefits. Thank you for any advice!