A recent analysis of 163 AI tools claiming to be agent-friendly revealed that a significant portion only implemented the most basic measures for accessibility. Specifically, 37% published an `llms.txt` file, 10% included a `crawler policy`, and only 5% provided an `mcp.json` file, indicating a superficial approach to agent compatibility among many tools. AI
IMPACT Highlights a gap between AI tools' claims of agent-friendliness and their actual implementation, suggesting a need for more robust standards.
RANK_REASON Analysis of AI tool claims based on published files.
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