Audited October 16, 2026 · scoring 100-point-v4

Middesk

A+

Middesk’s public docs score 99.0% (A+): content delivery 50/50, discovery 25/25, agent capabilities 22/25. 9 of 10 checks earn full points. Largest gap: Agent interoperability signals.

Middesk Fern · audited
A+

99.0% · 99/100 · AI Agent Readiness Score

llms.txt 15/15 PASS
Page metadata 5/5 PASS
llms-full.txt 1/1 PASS

docs platform: Fern (unscored) · scoring 100-point-v4

What to fix first

1 check loses points. They are ranked by the points a fix would add back.

  1. 1

    Add agent discovery signals such as Content Signals, an agent skills index, or an MCP server card.

Every check, with evidence

Each check shows what the audit found and the points it earned. Evidence links open the exact URL the audit requested.

Content delivery · 50/50

Content in server HTML

15/15 PASS

Agents and crawlers that fetch a page without a browser read only the HTML response. This check looks for the page’s main content in that response.

Found: The server HTML has 1,305 characters of main content; 250 are required.

Markdown mirror

15/15 PASS

Markdown is the cheapest format for an agent to read. This check looks for a Markdown version of this page and confirms that it is the same page.

Found: method: dom-alternate; 1,883 characters

  • Markdown version of this page (10/10)
  • Markdown matches the page (5/5)

Evidence: https://docs.middesk.com/home.md (opens in a new tab) · HTTP 200

Page fits one agent fetch

10/10 PASS

Agent tools commonly cut off long responses. This check measures the text an agent receives from this page.

Found: The Markdown version has 1,883 characters.

AI crawler access

10/10 PASS

AI search and user-triggered fetch agents read docs when a person asks a question. This check reads robots.txt rules for those agents.

Found: 0 of 11 AI search and user-triggered fetch agents are blocked in robots.txt.

Discovery · 25/25

llms.txt

15/15 PASS

llms.txt is an index that points agents to the documentation. This check validates it, measures it, and samples its links.

Found: 2 sections, 88 links; 36,456 characters; sampled links return Markdown

  • Valid llms.txt index (7/7)
  • llms.txt under 50,000 characters (4/4)
  • llms.txt links return Markdown (4/4)

Evidence: https://docs.middesk.com/llms.txt (opens in a new tab) · HTTP 200

Sitemap and robots.txt

5/5 PASS

A sitemap lists every page, so crawlers do not depend on navigation to find them.

  • robots.txt present (1/1)
  • Sitemap declared (2/2)
  • Sitemap valid XML (2/2)

Page metadata

5/5 PASS

Structured page metadata in the server HTML helps machines identify the page and its preferred address.

  • JSON-LD in raw HTML (1.25/1.25)
  • Canonical link (1.25/1.25)
  • Meta description (1.25/1.25)
  • Open Graph (1.25/1.25)

Agent capabilities · 22/25

MCP server

15/15 PASS

A Model Context Protocol server lets agents search or use the docs through tools.

Found: initialize handshake succeeded

Evidence: https://docs.middesk.com/mcp (opens in a new tab) · HTTP 200

API description

5/5 PASS

A machine-readable API description lets coding agents build API calls without guessing from prose.

  • OpenAPI document (3/3)
  • API catalog (.well-known) (2/2)

Agent interoperability signals

2/5 PARTIAL

Emerging standards that help agents discover and use a site.

  • Content Signals (0/1, missing)
  • Agent skills index (0/1, missing)
  • OAuth discovery (0/1, missing)
  • Link headers (1/1)
  • Web Bot Auth directory (0/1, missing)
  • MCP server card (0/1, missing)
  • Agent login instructions (auth.md) (1/1)

Extra credit · 2/2

Extra credit can restore lost points. It cannot raise the score above 100.

llms-full.txt

1/1 PASS

llms-full.txt combines the docs into one file for tools that load a whole documentation set.

Found: 35.6 KB, ~9,115 tokens (approx)

Evidence: https://docs.middesk.com/llms.txt (opens in a new tab) · HTTP 200

Docs AI assistant

1/1 PASS

An assistant on the docs site answers readers’ questions. It helps people, not external agents.

Found: Ask AI control (platform-native)

Archived reading test

Middesk had a reading test on 2026-09-22, under the method the series used until October 16, 2026. Three AI models read the docs and attempted five first-hour developer jobs. It scored 71.2% (C-). That score is not comparable with this one.

Read the archived reading test report

Show the score

AI Agent Readiness Score 99.0%, grade A+

Paste this into a readme:

[![AI Agent Readiness Score 99.0%](https://docsforagents.com/badge/middesk.svg)](https://docsforagents.com/reports/middesk-docs-ai-agent-readiness/)

Method note

This audit requested the public Middesk docs on October 16, 2026 and scored what the server returned. No AI model read the docs or scored anything. The audit did not run JavaScript, sign in, or create an account. Scoring version 100-point-v4.

Read the full methodology

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