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AI tools claim agent-friendliness, but few implement basic accessibility measures

By PulseAugur Editorial · [1 sources] ·

A recent analysis of 166 AI tools revealed that while many claim to be agent-friendly, only a small percentage have implemented basic measures to facilitate this. Specifically, 39% of these tools publish an llms.txt file, 10% have declared an AI crawler policy, and a mere 5% expose an mcp.json file, indicating a significant gap between stated intentions and actual implementation of agent accessibility. AI

IMPACT Highlights a gap in AI tool accessibility, potentially impacting agent integration and development.

RANK_REASON Analysis of existing tools rather than a new release or event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI tools claim agent-friendliness, but few implement basic accessibility measures

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    🤖 We checked whether AI tools are readable by AI agents. 166 tools with a public site: · 39% publish an llms.txt · 10% declare an AI crawler policy · 5% expose

    🤖 We checked whether AI tools are readable by AI agents. 166 tools with a public site: · 39% publish an llms.txt · 10% declare an AI crawler policy · 5% expose an mcp.json Everyone claims to be agent-friendly. Few went past the easiest file. https:// olud.ai/agent-ready.html # AI…

    LINKS olud.ai/agent-ready.html

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