Tool Evidence Guard v0.1.0 validates AI agent tool outputs before response generation

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Tool Evidence Guard is a new open-source Python library and CLI tool designed to verify that AI agent tool outputs meet predefined data contracts before being used in a response. The core problem it addresses is agents continuing to generate responses — sometimes with fabricated values — even when a tool returns null or fails entirely. Version 0.1.0 supports JSON Pointer field validation with types including integer, number, string, and boolean, and allows constraints such as minimum, maximum, and enum values. The system requires contracts and captured results to come from a trusted execution layer, not the model itself, to prevent a coherent but false document from passing validation. The tool is available on GitHub and requires Python 3.10 or higher with no external runtime dependencies.

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