Researchers develop 10 test cases to evaluate AI agents' file tool decisions

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Researchers have created a set of 10 test cases to evaluate how AI agents make decisions before using filesystem tools. The tests, available in a free public repository, assess whether agents correctly choose tools and handle paths based on user requests. Cases include scenarios where agents must refuse dangerous operations like deleting files or accessing paths outside permitted directories. The framework scores agents based on their recorded responses without needing to run a live AI model or server. This aims to test the agent's decision-making logic independently of any underlying server-side security.

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