How DSLs Make LLM Tool Calling More Reliable
SirOibaf · hn · 2026-07-15
The article argues that **providing LLMs with a Domain-Specific Language (DSL) is more reliable than exposing generic free-text interfaces**. DSLs explicitly define available operations, input constraints, and return structures, thereby reducing ambiguity and hallucinations during tool calls. Key points include: - The key to reliable LLM usage isn't making the model "smarter," but **constraining its expressive space**. - When tool inputs/outputs have clear syntax and structure, models are more likely to generate verifiable and reproducible calls. - DSLs also shift business rules, constraints, and error boundaries to the forefront of system design, lowering the probability of agents making mistakes in workflows. Ultimately, the article advocates for "**having agents execute tasks via constrained interfaces**," emphasizing that engineering should prioritize designing controllable, auditable tool layers rather than hoping the model figures everything out on its own.
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