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Published by Hugging Face Blog (T1.5 source). The original is at https://huggingface.co/blog/microsoft/thinkingbox.

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The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Microsoft's ThinkingBox paper evaluates AI agents by running them against isolated MCP tool sessions and grading the terminal backend state and side effects, rather than trusting agent self-reports. A customer service scenario illustrates the gap between an agent claiming completion and the actual database outcome.

Agent self-reports are an unreliable completion signal. ThinkingBox scores the real backend state after the agent finishes, which is a more honest evaluation surface for production agent work.

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