Agent-ready website

Built for AI agents

This site works for people and for AI agents. It hands assistants clean, structured content and lets them call real tools here, instead of scraping and guessing from the page. Below are both capabilities, live, so you can verify them yourself.

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1. Clean content for agents

Every page has a token-light Markdown twin. A normal browser gets the HTML page; an agent that asks for Accept: text/markdown gets the same page as clean Markdown at the same URL. There is also an llms.txt index that points agents at the whole site.

2. Callable tools (WebMCP)

The site registers 7 tools an AI agent can call directly through the WebMCP standard (document.modelContext). Press Run on any tool to see exactly what an agent receives. The responses below are the real ones; live registration in the browser needs Chrome 149+ or Edge, but the outputs are the same either way.

get_contact_details (no input)

Phone, WhatsApp, email, postal address, opening hours, areas covered and review links.

list_services (no input)

Every service with a one-line description and its page URL.

get_service_details service

Details for one service, looked up by name or slug.

check_service_area location

Whether a town, area or postcode is in the coverage area.

list_recent_projects (no input)

Recent example projects with location and page URL.

get_opening_hours (no input)

The opening hours.

request_quote firstName, phone, email, message (+ lastName, postcode)

Submits a real enquiry straight into the quote pipeline (Supabase). An agent calls this only after confirming the details with you.

Open the quote form →

Verify it independently

  • Google PageSpeed Insights. Run a report on this site: the “Agentic Browsing” section lists the registered WebMCP tools and validates their schemas. Open PageSpeed Insights →
  • Chrome's Model Context Tool Inspector. Google's official extension lists the tools and runs them live in Chrome 149+. WebMCP documentation →
  • The Markdown and llms.txt above. Open them in any browser, or from a terminal run curl -H "Accept: text/markdown" https://cleomgardening.co.uk/.