docker.com
agent readiness score · scanned Aug 18, 2026 · 9s · Developer Tools
#19 of 979 · #7 in category
Docker provides a platform for accelerated container application development, offering tools for AI and agent development, application security, and general application development, with a focus on secure and governed agent adoption.
Discovery 20/20
Access 23.7/30
Usability 27/40
Payments 10/10
Top fixes
- +6
agents.md
Add /agents.md: what agents may do on your site, key URLs, auth, rate limits, and who to contact.
- +5
MCP server discovery
Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: docs page (https://docs.docker.com/).
- +4.6
llms.txt
Add /llms.txt: an H1 with your name, a one-line blockquote summary, and H2 sections of curated links to docs, pricing, and API.
- +2
Docs quality
Docs scored 3/5 on completeness. The documentation provides a high-level overview and links to guides, but lacks a clear, direct path for an AI agent to understand and execute specific Docker commands or API calls without further navigation and interpretation.
- +1.7
Semantic HTML structure
Add the missing structure: no heading-level skips, text-to-markup ratio ≥ 0.10. Agents parse structure, not pixels.
- +2.3
llms-full.txt
Add /llms-full.txt with expanded inline docs content so agents can load everything in one fetch.
1.Can an agent discover and trust you?
8/8
1.Can an agent discover and trust you?
Whether agents can crawl you, find you in the registries and searches they check, and trust what they find.
✓Sitemap present & fresh4/4
Sitemap at https://www.docker.com/sitemap_index.xml: 201 entries, freshest <lastmod> 2026-08-17 (0 days ago)
Resolved the sitemap from robots.txt or /sitemap.xml, validated XML, and checked lastmod freshness
spec ↗✓Brand search discoverability4/4
Both searches ("Docker" and "Docker developer tools") cited docker.com: https://docs.docker.com/reference/cli/docker/search, https://docs.docker.com/reference/cli/docker/scout/cves/, https://www.docker.com/blog/capturing-build-information-buildkit/, https://docs.docker.com/scout/quickstart, https://www.docker.com/products/developer-tools/
Ran clean brand-name web searches and checked whether your domain is cited in the results
—MCP registry listingsna
No MCP server detected for this product
Queried the official MCP registry, Smithery, Glama, and PulseMCP for servers matching your domain
spec ↗
2.Do you welcome agents?
7/12
2.Do you welcome agents?
Whether your robots policy, bot protection, and agent guidance actively admit AI agents instead of blocking them.
✓robots.txt present & parseable2/2
/robots.txt parses: 1 User-agent group(s), 2 Sitemap line(s)
Fetched /robots.txt and validated it parses as a robots policy
spec ↗✓AI crawler policy5/5
All 12 AI crawler user-agents (GPTBot, ClaudeBot, PerplexityBot, …) are allowed at / by robots.txt
Evaluated robots.txt groups for the major AI agent user-agents (GPTBot, ClaudeBot, PerplexityBot, …)
✗Content Signals directives0/2
No Content-Signal lines in robots.txt
fix → Declare Content Signals in robots.txt (e.g. `Content-Signal: search=yes, ai-train=no`) to express AI usage preferences machine-readably.
Looked for Content-Signal lines in robots.txt
spec ↗!Agent user-agent parityerror
Browser UA received HTTP 200 with bot-challenge markers — cannot evaluate parity (the site may be blocking our scanner)
Compared responses served to browser and AI-agent user-agents (informational while in beta)
✗agents.md0/3
No agents.md: https://docker.com/agents.md → HTTP 404, https://docker.com/AGENTS.md → HTTP 404
fix → Add /agents.md: what agents may do on your site, key URLs, auth, rate limits, and who to contact.
Fetched /agents.md and checked for substantive agent guidance
spec ↗
3.Does an agent understand who you are and what you do?
12/18
3.Does an agent understand who you are and what you do?
Whether your pages carry machine-readable identity: structured data, llms.txt, clear copy an agent can quote.
✓Homepage states what you are3/3
Homepage clarity rated 5/5 — an agent can confidently say what this company does (model's one-sentence read: "Docker provides a platform for accelerated container application development, offering tools for AI and agent development, application security, and general application development, with a focus on secure and governed agent adoption.")
An LLM read your homepage as an agent would and rated how confidently it could say what you do
✓OpenGraph / social metadata2/2
Homepage has og:title, og:description, and og:image (twitter:card="summary_large_image" present)
Parsed homepage og:title / og:description / og:image and twitter:card meta tags
spec ↗✗llms.txt0/4
GET /llms.txt returned HTTP 404
fix → Add /llms.txt: an H1 with your name, a one-line blockquote summary, and H2 sections of curated links to docs, pricing, and API.
Fetched /llms.txt and validated it against the llmstxt.org shape (H1, summary, curated links)
spec ↗✗llms-full.txt0/2
GET /llms-full.txt returned HTTP 404
fix → Add /llms-full.txt with expanded inline docs content so agents can load everything in one fetch.
Fetched /llms-full.txt and checked for substantial inline markdown content
spec ↗✓JSON-LD structured data4/4
13 JSON-LD block(s) on homepage and pricing page (types: Corporation, WebSite, WebPage, VideoObject, BreadcrumbList); Corporation block is well-formed
Extracted and validated application/ld+json blocks on the homepage and pricing page
spec ↗✓Markdown content negotiation3/3
https://docs.docker.com/ returns markdown for `Accept: text/markdown` (content-type text/markdown)
Requested key pages with Accept: text/markdown and probed .md twin URLs
4.Can an agent integrate with you?
watch →6.5/9
4.Can an agent integrate with you?
Whether the artifacts an agent needs to build on you — docs, API specs, SDKs, MCP servers — exist and are findable.
—Developer resource discoverabilityna
No public API detected
Searched for your brand with developer-keyword suffixes and checked which official resources are cited
—OpenAPI spec discoverablena
No public developer API detected — API checks don't apply
Probed standard OpenAPI locations and docs links for a fetchable, parseable spec
spec ↗✓Docs discoverable4/4
Docs found at https://docs.docker.com/ (via homepage link, 2588 chars of readable text)
Followed homepage nav/footer links and probed /docs, /developers, docs.{domain}
◐MCP server discovery2.5/5
MCP evidence found only as a mention in docs page (https://docs.docker.com/): "MCP server" — no well-known server card
fix → Publish /.well-known/mcp/server-card.json describing your MCP endpoint so agents can autodiscover it. Evidence found: docs page (https://docs.docker.com/).
Probed /.well-known/mcp/server-card.json, mcp.json, and docs mentions for an MCP endpoint
spec ↗—npm SDKna
No public developer API detected — API checks don't apply
Searched the npm registry for an official, domain-verified SDK package
—PyPI SDKna
No public developer API detected — API checks don't apply
Searched PyPI for an official, domain-verified SDK package
5.Is your integration well-built?
watch →2/3
5.Is your integration well-built?
Whether your specs, docs, and tools are complete and descriptive enough for an agent to use them without guessing.
—OpenAPI validity & qualityna
No public developer API detected — API checks don't apply
Linted the spec: descriptions, operationIds, securitySchemes, servers
◐Docs quality2/3
Docs at https://docs.docker.com/ scored clarity 4/5, completeness 3/5, runnable examples 3/5, agent-friendliness 3/5 (mean 3.3/5)
fix → Docs scored 3/5 on completeness. The documentation provides a high-level overview and links to guides, but lacks a clear, direct path for an AI agent to understand and execute specific Docker commands or API calls without further navigation and interpretation.
An LLM rated your docs for clarity, completeness, runnable examples, and agent-friendliness
—Quickstart / getting startedna
No public developer API detected — API checks don't apply
Looked for a quickstart/getting-started guide containing code blocks
—MCP tool qualityna
No MCP endpoint known — tool lint requires a tools/list
Linted listed tools for descriptions, typed input schemas, and naming
6.Can an agent use you reliably in production?
watch →4/4
6.Can an agent use you reliably in production?
Response hygiene, TLS and redirect discipline, and security contact channels agents depend on at runtime.
✓TLS & redirect hygiene2/2
http://docker.com/ upgrades to https in 1 hop(s), 1 redirect(s) total, final HTTP 200; HSTS present
Checked http→https redirect behavior, chain length, and TLS health
✓Response speed & weight1/1
Homepage TTFB 24ms, payload 338KB, Content-Encoding: gzip
Measured homepage TTFB, payload size, and compression
✓security.txt1/1
Valid security.txt at https://docker.com/.well-known/security.txt: Contact mailto:security@docker.com, Expires 2030-01-01
Fetched /.well-known/security.txt and validated Contact + Expires
spec ↗
7.Can an agent authenticate to you?
watch →2/2
7.Can an agent authenticate to you?
Whether agents can discover your auth model machine-readably (OAuth metadata) and follow documented steps to credentials.
—OAuth authorization server metadatana
No API or MCP server detected — OAuth metadata doesn't apply
Fetched /.well-known/oauth-authorization-server (and openid-configuration fallback)
spec ↗—OAuth protected resource metadatana
No API or MCP server detected — OAuth metadata doesn't apply
Fetched /.well-known/oauth-protected-resource
spec ↗✓Auth documentation2/2
Auth documentation found at https://docs.docker.com/ai/sandboxes/customize/kit-reference/#schema-versions (linked from https://docs.docker.com/) with code examples
Looked for /auth.md or an authentication docs page with code examples
8.Can an agent transact with you?
watch →10/15
8.Can an agent transact with you?
Whether pricing is discoverable and machine-readable, and whether you support agent payment protocols.
✓Pricing discoverable5/5
Pricing page found at https://www.docker.com/pricing/ (via homepage link) with legible price signals ("$0 $0 For individual developer").
Followed nav/footer links and probed /pricing for a page with legible price signals
✓Machine-readable pricing5/5
LLM extracted 10 numerically-priced plan(s) from https://www.docker.com/pricing/ at confidence 0.90: Docker Personal $ 0/monthly; Docker Personal $ 0/yearly; Docker Pro $ 11/monthly; Docker Pro $ 9/yearly; Docker Team $ 16/monthly; Docker Team $ 15/yearly; Docker Business $ 24/monthly; Docker Business $ 24/yearly; Docker Hardened Images (DHI) Community $ 0/free; Docker Hardened Images (DHI) Select $ 5000/per repo; Docker Hardened Images (DHI) Enterprise (contact sales); ELS add-on (no listed price).
Looked for Offer JSON-LD, then had an LLM attempt structured extraction of your plans
spec ↗✗x402 payment support0/2
/.well-known/x402 returned HTTP 403. No x402 support detected (bonus check — absence costs nothing).
fix → Support x402: serve payment requirements at /.well-known/x402, or answer unauthenticated API calls with HTTP 402 plus an x402 payment-requirements payload (x402Version, accepts[]).
Probed /.well-known/x402 and API endpoints for HTTP 402 payment-required envelopes
spec ↗✗AP2 readiness0/1
No AP2 hints found — scanned docs page (https://docs.docker.com/); /.well-known/ap2 returned HTTP 403.
fix → Adopt AP2 to accept delegated agent payments — see https://ap2-protocol.org.
Scanned fetched artifacts and well-known paths for AP2 hints
spec ↗✗Agentic Commerce Protocol0/1
No Agentic Commerce Protocol hints found — scanned docs page (https://docs.docker.com/); /.well-known/acp returned HTTP 403.
fix → Adopt the Agentic Commerce Protocol so agent checkouts can complete against your store — see https://developers.openai.com/commerce.
Scanned docs and specs for agentic checkout endpoints
spec ↗✗Other agent payment protocols0/1
No UCP/MPP hints found — scanned docs page (https://docs.docker.com/).
fix → Track emerging agent payment protocols (UCP, MPP) and adopt the ones your buyers' agents use.
Scanned fetched artifacts for UCP/MPP protocol hints
9.Can a user act through an agent?
—
9.Can a user act through an agent?
Whether an end user's agent can operate on their behalf: working MCP tools, published skills, agent configs.
—Agent skill publishedna
Requires the analysis phase — not yet evaluated
Checked /skill.md, /.well-known/skills/, and skills.sh for published agent skills
—MCP handshake & tools listna
No MCP endpoint known — nothing to handshake with
Performed a streamable-HTTP initialize + tools/list against the MCP endpoint
spec ↗—Agent configs in public repona
Requires the analysis phase — not yet evaluated
Checked your public GitHub org's main repos for AGENTS.md / .claude / .cursor configs
10.Can an agent operate your website directly?
5.5/9
10.Can an agent operate your website directly?
Whether the site itself is legible to non-rendering and browser agents: semantic HTML, no JS walls, accessibility.
✗NLWeb endpoint0/1
No NLWeb endpoint detected: /.well-known/nlweb.json returned HTTP 403 (text/html); GET /ask?query=hello returned HTTP 404 (text/html)
fix → Consider exposing an NLWeb /ask endpoint (and /.well-known/nlweb.json) for conversational access to your content.
Probed /.well-known/nlweb.json and the /ask endpoint
spec ↗◐Semantic HTML structure1.5/3
4/6 semantic signals present on the homepage (missing: no heading-level skips, text-to-markup ratio ≥ 0.10)
fix → Add the missing structure: no heading-level skips, text-to-markup ratio ≥ 0.10. Agents parse structure, not pixels.
Scored landmark elements, heading hierarchy, and text-to-markup ratio on the homepage
✓Content readable without JavaScript2/2
Homepage raw HTML contains 6578 chars of visible text without JavaScript
Measured visible text in the raw, unrendered homepage HTML
✓Accessibility basics2/2
Homepage accessibility: 4/5 checks passed — failing: labeled inputs (1/2 unlabeled)
Static checks: lang attribute, title, alt coverage, labeled inputs, landmarks
✗WebMCP0/1
No WebMCP evidence on homepage: no application/webmcp script and no navigator.modelContext reference
fix → Consider WebMCP to expose page actions as tools to browser agents.
Looked for WebMCP script declarations on the homepage
spec ↗