Machine-readable documentation uses predictable text, headings, links, identifiers, code blocks, and metadata. Formats such as Markdown reduce presentation noise, while indexes and stable URLs help an agent locate the smallest relevant document instead of loading an entire site into its context.
The documentation must remain useful to people and machines. It should preserve version, provenance, scope, and update information; avoid hiding essential facts in scripts or images; and distinguish examples from requirements. A structured format does not compensate for stale, ambiguous, or inaccurate content.
