Scan Results: https://docs.stackai.com/stackai-auto-cli
ID: a45f5869-cef2-4c61-8e9d-c5e08ea9a83b
61/100
Agent Readiness Score
AI-Friendly Docs
Parseable by AI models but has high token usage or lacks standard machine-readable hooks.
Category Breakdown
Context Optimization21 / 30
Code Block Execution30 / 30
Machine Readability0 / 20
Agent Tooling & MCP10 / 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 (3% markdown/HTML)
↳ AI Agent Fix Prompt
Reduce layout boilerplate (header, footers, scripts) or use Markdown Content Negotiation to strip DOM noise.
🔧
Code Block Execution
30/30
Terminal Prompt Pollution (No "$" prefixes in copyable code)
Dependency & Import Completeness
Dynamic Variable Placeholders
All checks passed — this category is agent-ready.
🔍
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
10/20
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