Most tools are built for humans. Some work with agents. A few were designed for agents from day one. Agent Native Registry rates every tool on how well an AI agent can discover, authenticate, and use it end-to-end.
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Every tool in the registry gets a 0–100 composite score across five dimensions that matter to agents, not humans.
Does the tool have an MCP server, OpenAPI spec, or llms.txt? Can an agent find it without a web search?
Can an agent create an account? Is there CAPTCHA? OAuth? The fewer human steps, the higher the score.
SDK quality, MCP server completeness, structured responses. Does the API return parseable, actionable data?
Uptime, rate limits, error message quality. Does the tool fail gracefully when an agent makes a mistake?
Free tier? Usage-based pricing? Agent-specific plan? Tools that let agents operate autonomously score higher.
Here's what a few entries look like. These are illustrative — full scored database coming at launch.
Add Agent Native Registry to your agent's context. Your agent can call
search_tools,
get_score,
compare_tools, and
list_categories
mid-task to find the best tool for the job.
25 tools rated at launch. More added weekly. Questions? alex@agentnativeregistry.com