debelegger.nl

Item: debelegger.nl
Rating: 60

Compare

Scan history

Scanned 2026-03-03 13:45 UTC

2026-08-29 15:45 UTC 31/100 Compare

2026-05-18 10:54 UTC 56/100 Compare

2026-03-03 13:45 UTC 60/100 Compare

2026-03-01 15:30 UTC 41/100 Compare

SCAN HISTORY Scanned 2026-03-03 13:45 UTC

2026-08-29 15:45 UTC 31/100 Compare

2026-05-18 10:54 UTC 56/100 Compare

2026-03-03 13:45 UTC 60/100 Compare

2026-03-01 15:30 UTC 41/100 Compare

Result summary

Readiness profiles

Methodology legacy

Measured coverage

60/100

Methodology grade

37 checkpoints assessed

Passed

Partial

Failed

Skipped

Strongest category

Content & Semantics

Weakest category

Agent Protocols

Action plan

Priority actions Highest-impact implementation details

3 prioritized actions

Prioritized by exact impact on the overall stable-core score.

llms.txt +4 overall pts

No valid llms.txt found at /llms.txt.

llms.txt

HIGH

llms.txt is a new standard that provides LLMs with a structured overview of your site — key pages, documentation links, and context — in a format optimized for AI consumption.

Create an /llms.txt file with a markdown heading and relevant URLs to help LLMs understand your site.

llms.txt plain

# /llms.txt
# debelegger.nl

> debelegger.nl — your site description here.

## Docs
- [Getting Started](https://debelegger.nl/docs/getting-started)
- [API Reference](https://debelegger.nl/docs/api)

## Optional
- [Blog](https://debelegger.nl/blog)
- [Changelog](https://debelegger.nl/changelog)

Sources

WebMCP Declarative API +3 overall pts

No WebMCP signals found.

WebMCP Declarative API

HIGH

WebMCP is the W3C proposal for exposing website functionality directly to AI agents. Declarative tool annotations on forms let agents perform actions (search, purchase, book) without screen scraping.

Implement WebMCP to let AI agents interact with your site. Declarative: add tool-name and tool-description attributes to <form> elements. Imperative: use navigator.modelContext.provideContext() to register tools.

<form tool-name="search" tool-description="Search products by keyword">
  <input type="text" name="query" tool-param-description="Search query">
  <button type="submit">Search</button>
</form>

Sources

A2A Agent Card +3 overall pts

No A2A Agent Card found at /.well-known/agent.json.

A2A Agent Card

HIGH

Google's Agent-to-Agent (A2A) protocol enables autonomous agent-to-agent communication. An Agent Card at /.well-known/agent.json advertises your agent's capabilities to other AI systems.

Create an A2A Agent Card at /.well-known/agent.json with required fields: name, description, url, capabilities.

.well-known/agent.json json

{
  "name": "My Agent",
  "description": "An AI assistant for customer support",
  "url": "https://debelegger.nl/agent",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "skills": [
    {"id": "support", "name": "Customer Support"}
  ]
}

Sources

Fix with AI Skills

$ /plugin marketplace add bartwaardenburg/isagentready-skills

Detailed results

Agent Protocols Weight 15% Needs attention

7 failed checkpoints

0/100

WebMCP Declarative API: Failed

WebMCP manifest: Failed

A2A Agent Card: Failed

MCP Discovery: Failed

OpenAPI / API documentation: Failed

agents.json: Failed

Interactive Surface Coverage: Failed

AI Content Discovery Weight 30% Needs attention

2 failed checkpoints

75/100

robots.txt present: Passed

AI crawler directives: Passed

XML Sitemap: Passed

llms.txt: Failed

Meta robots / X-Robots-Tag: Passed

Content freshness signals: Failed

HTTP bot accessibility: Passed

Security & Trust Weight 15% Needs attention

3 failed, 1 partial

53/100

HTTPS: Passed

Auto-submit Risk Assessment: Passed

HSTS header: Partial

Content-Security-Policy: Failed

X-Content-Type-Options: Passed

Frame protection: Failed

CORS configuration: Passed

Referrer-Policy: Failed

Content & Semantics Weight 20% Partial progress

2 partial checkpoints

83/100

Server-side rendered content: Passed

Heading hierarchy: Partial

Semantic HTML elements: Partial

Accessible landmarks & ARIA: Passed

Image alt text: Passed

Language attribute: Passed

Descriptive link texts: Passed

Question-based headings: Passed

AI Search Signals Weight 20% Needs attention

3 failed, 1 partial

63/100

JSON-LD present: Passed

Organization / WebSite schema: Passed

High-value schema types: Passed

Entity linking (@id): Failed

Schema validation: Partial

FAQPage schema: Failed

Author attribution: Failed

AI Training Exposure Supplemental

Does not affect the readiness score

No AI training protections detected. Your content may be freely used for AI model training. Your domain appears in Common Crawl's web archive.

Common Crawl presence Found

Domain found in Common Crawl CC-MAIN-2026-08. Your public content is included in Common Crawl's web archive, which is used by many AI training pipelines.

Training crawler blocking Not found

No training crawlers are blocked in robots.txt. All known AI training bots can access your content.

TDMRep declaration Not found

No TDMRep file found at /.well-known/tdmrep.json. The TDM Reservation Protocol (W3C) lets you declare whether you reserve text and data mining rights. See w3.org/community/reports/tdmrep/CG-FINAL-tdmrep-20240510 for the specification.

ai.txt policy Not found

No ai.txt file found. This emerging standard lets you declare AI usage preferences for your content.

Developer Tools

Scan and fix from your editor

Install our MCP server to scan any website from your terminal. Pair it with AI agent skills to fix failing checks automatically.

Scan any website directly from your terminal
Fix failing checks with AI agent skills
Re-scan to verify improvements

SCAN

claude mcp add isagentready-mcp -- npx -y isagentready-mcp

codex mcp add isagentready-mcp -- npx -y isagentready-mcp

gemini mcp add isagentready-mcp -- npx -y isagentready-mcp

docker run -i --rm ghcr.io/bartwaardenburg/isagentready-mcp

FIX

/plugin marketplace add bartwaardenburg/isagentready-skills

git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.cursor/skills/isagentready-skills

git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills

git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.codeium/windsurf/skills/isagentready-skills

git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills

gemini skills install https://github.com/bartwaardenburg/isagentready-skills.git

git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.config/agents/skills/isagentready-skills

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Detailed score breakdown per category
Prioritized improvement recommendations
Step-by-step implementation guide