A linter and eval harness for LLM agent tool descriptions

Teams building LLM agents keep watching their agent pick the wrong tool, and they respond by rewriting the system prompt over and over. A product that statically checks tool schemas and descriptions, then runs a simulated selection eval to show which tools get confused, would turn that guesswork into a repeatable test.

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Why this is worth a look — three verifiable signals, not a black-box score.

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