agenticweb.wiki

fastify.dev agentic web readiness

C Manifest validity: 100% (1/1 valid, 0 errors, 2 warnings) · Surface score 20 (coverage 10 + breadth 0 + conformance 10). 1 standard observed across 1 of 9 steps; 1 manifest present, 0 errors, 2 warnings. Checked 2026-10-25 23:38:05 UTC. This grades the agent-facing files published at fastify.dev, not the organisation's products.

Badge for a README: ![agentic web grade](https://agenticweb.wiki/badge/fastify.dev.svg) · JSON · Markdown · Re-check now

Coverage by step

01 Discovernothing observed02 Identifynothing observed03 Permitnothing observed04 Readllms.txt05 Actnothing observed06 Coordinatenothing observed07 Paynothing observed08 Presentnothing observed

Manifests

ManifestResultFindings
Agentic Resource Discovery
/.well-known/ard.json
absent HTTP 404
AI Catalog well-known file
/.well-known/ai-catalog.json
absent HTTP 404
MCP Server Cards (SEP-2127)
/mcp/server-card
absent HTTP 404
Agent2Agent Protocol
/.well-known/agent-card.json
absent HTTP 404
llms.txt
/llms.txt
valid
  • no blockquote summary under the title
  • file is large; keep llms.txt an index and put the full text in llms-full.txt
AGENTS.md
/AGENTS.md
absent HTTP 404
Agent Skills
/.well-known/agent-skills/index.json
absent HTTP 404
api-catalog: A Well-Known URI and Link Relation to Help Discovery of APIs
/.well-known/api-catalog
absent HTTP 404
AI Crawler User-Agent Tokens in robots.txt
/robots.txt
absent HTTP 404
security.txt (RFC 9116)
/.well-known/security.txt
absent HTTP 404
auth.md
/auth.md
absent HTTP 404
Open Knowledge Format
/okf/index.md
absent HTTP 404

What an agent can call

Standards observed

Cheapest next steps

  1. AI Crawler User-Agent Tokens in robots.txt: state what AI crawlers may do in robots.txt you already serve
    Generate starter /robots.txt for fastify.dev
    # search and answer-engine crawlers
    User-agent: Googlebot
    User-agent: bingbot
    User-agent: OAI-SearchBot
    User-agent: Claude-SearchBot
    User-agent: PerplexityBot
    User-agent: ExaSearchBot
    User-agent: TavilyBot
    Allow: /
    
    # model-training crawlers: choose Allow or Disallow and keep it explicit
    User-agent: GPTBot
    User-agent: ClaudeBot
    User-agent: Google-Extended
    User-agent: Applebot-Extended
    User-agent: CCBot
    User-agent: meta-externalagent
    User-agent: Bytespider
    Disallow: /
    
    # user-triggered fetchers (a person asked for this page)
    User-agent: ChatGPT-User
    User-agent: Claude-User
    User-agent: Perplexity-User
    Allow: /
    
    # default fallback for unlisted crawlers (RFC 9309 §2.2.1: specific groups above take precedence over *)
    User-agent: *
    Allow: /
    Disallow: /account/
    Content-Signal: ai-train=no, search=yes, ai-input=yes
    
    Sitemap: https://fastify.dev/sitemap.xml
    Agentmap: https://fastify.dev/.well-known/ard.json
    
  2. Agentic Resource Discovery: a catalog at /.well-known/ard.json lets agents discover your APIs, MCP servers and data in one fetch (emerging spec — publish only if you run the underlying endpoints; generate via MCP template({"id": "ard", "domain": "fastify.dev"}))
  3. AGENTS.md: instructions for coding agents working on or with the site
    Generate starter /AGENTS.md for fastify.dev
    # Fastify for agents
    
    Fastify and what it offers to agents
    
    ## Read the data, not the HTML
    - Index: https://fastify.dev/llms.txt
    - API description: https://fastify.dev/openapi.json
    - Discovery catalog: https://fastify.dev/.well-known/ard.json
    
    ## Calling
    - MCP server (Streamable HTTP): https://fastify.dev/mcp
    - Rate limits and authentication: describe them here
    
    ## Conventions
    - How to cite or attribute content
    - What not to do (no scraping of /account/, no automated sign-ups, etc.)
    
    Contact: security@fastify.dev
    

Agent pre-flight & practical readiness

Preferred mode: llms_txt. GET /llms.txt and follow the links it names. That index is the page list an agent should read.

Fetch: GET https://fastify.dev/llms.txt GET /llms.txt and follow its links.

Practical readability: exa_parsable yes, markdown negotiation no, render ssr_rich, HTML quality high, first content at byte 13234, HTML-to-llms.txt token ratio 1.705×, JSON-LD WebSite.

AI crawler posture: unspecified · Assistant access: OpenAI unspecified, Anthropic unspecified, Google unspecified, Perplexity unspecified, Exa unspecified.

Readiness subscores: reach 0/20, readability 22/30, capabilities 4/35, conformance 10/15, total 36/100, grade C.

How the grade is made

+10 per lifecycle step with a standard observed, counting manifests that validate or that the probe rule for the standard recognises (a valid MCP server card counts for MCP; max 90); +3 per observed standard beyond the first two (max 15); conformance +15 (+10 with one manifest) minus 5 per agent-facing manifest with errors, never below 0 (security.txt is reported, not scored). Lifecycle grade: A+ >= 60, A >= 45, B >= 30, C >= 20, D >= 10. Strict 100-point composite (subscores.total_100 / subscores.grade_100): reach_and_policy (20) + readability (30) + capabilities (35) + conformance (15), where A+ >= 80, A >= 65, B >= 45, C >= 28, D >= 15. Errors are specification violations; warnings are best-practice gaps. Only public paths are fetched, without credentials, so standards that need a login (skipped in the probe) are not counted either way. The same report is the validate_manifest tool on the MCP server.

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