Scan Results: https://docs.lovable.dev

Vanity URL: scan.glintbase.xyz/lovable-scan

LeaderboardNew Scan
31/100
Agent Readiness Score

Legacy Docs (Invisible)

Invisible to AI agents. Severe context noise, non-functional code, or zero discoverable specifications.

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Category Breakdown

Context Optimization21 / 30
Code Block Execution10 / 30
Machine Readability0 / 20
Agent Tooling & MCP0 / 20

Detailed Findings

⚡

Context Optimization

21/30

llms.txt Auto-Discovery

llms-full.txt Consolidated Docs

Markdown Content Negotiation (Accept: text/markdown)

DOM Cleanliness Ratio (2% markdown/HTML)

↳ AI Agent Fix Prompt
Reduce layout boilerplate (header, footers, scripts) or use Markdown Content Negotiation to strip DOM noise.
🔧

Code Block Execution

10/30

This category was analyzed using structural heuristics. Results reflect your documentation's observable patterns.

Terminal Prompt Pollution (No "$" prefixes in copyable code)

Dependency & Import Completeness

↳ AI Agent Fix Prompt
No code blocks found to analyze.

Dynamic Variable Placeholders

↳ AI Agent Fix Prompt
No code blocks found to analyze.
🔍

Machine Readability

0/20

OpenAPI/Swagger Spec Auto-Discovery

↳ AI Agent Fix Prompt
Expose an OpenAPI or Swagger specification at a standard path (e.g. /openapi.json) or link to it using the "Link" HTTP response header with rel="openapi".

JSON-LD Structured Schema (TechArticle / APIReference / Guide)

↳ AI Agent Fix Prompt
Embed a <script type="application/ld+json"> block classifying your docs as a TechArticle, Guide, or APIReference, containing semantically enriched metadata.
🤖

Agent Tooling & MCP

0/20

Model Context Protocol (MCP) Server Integration

↳ AI Agent Fix Prompt
Configure and expose an MCP server definition at /.well-known/mcp.json or publish guidelines showing AI agents how to interact with your APIs using MCP tool declarations.

Error Code Diagnostics & Cross-Referencing Index

↳ AI Agent Fix Prompt
Provide a comprehensive table or section listing error codes, their causes, and solutions. This lets agents cross-reference error stacks and resolve integration errors automatically.