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Score any website against the Vercel Agent Readability Spec and llmstxt.org standard. Get actionable fixes to make your site AI-agent friendly.Listings are sourced from public community registries and shown as reported.
agent-ready.dev
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Tools
scan_siteactimperative
Scan a public website for AI agent-readability against the Vercel Agent Readability Spec, llmstxt.org, and agent-protocol manifests. Returns a 0–100 score, the llms.txt score, and the top failing checks with a link to the full per-check report.Input schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The public URL to scan, e.g. https://example.com"
}
},
"required": [
"url"
],
"additionalProperties": false
}get_scananswerimperative
Fetch a previously run Agent Ready scan by its id (shareToken) and return the score summary. Use to re-read a result or poll a scan that was still running.Input schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The scan id / shareToken."
}
},
"required": [
"id"
],
"additionalProperties": false
}askactimperative
Natural-language search (NLWeb /ask) over Agent Ready's own content — scoring methodology, the check registry, the specs it validates, and the content library (explainers, comparisons, how-to guides, glossary). Returns Schema.org-typed results. Optional itemType narrows the corpus; mode 'summarize' adds an extractive summary.Input schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "The natural-language question."
},
"itemType": {
"type": "string",
"enum": [
"methodology",
"checks",
"specs",
"llms-txt",
"check",
"page",
"any"
],
"description": "Narrow the search to one corpus type (default: any)."
},
"mode": {
"type": "string",
"enum": [
"list",
"summarize"
],
"description": "list (default) or summarize for an extractive summary."
}
},
"required": [
"q"
],
"additionalProperties": false
}