Structured Data and JSON-LD

Purpose

This page defines interpretation boundaries for the use of structured data and JSON-LD within documentation and AI-facing contexts. Its role is to clarify how structured metadata should be read without implying correctness, authority, verification, or endorsement.

This page is descriptive and informational only and must not be interpreted as a guarantee, assurance, certification, or system-wide claim.

What Structured Data Represents

Structured data expresses declared attributes, labels, and relationships in a machine-readable format. It reflects how information is presented, categorized, or indexed, not whether the information is true, complete, or validated.

JSON-LD structures describe intended meaning or context for consumers such as search engines or AI systems, not operational behavior or factual proof.

Interpretation Rules

Treat structured data as an annotation layer that mirrors documentation intent.

Do not interpret the presence of structured fields as evidence of verification or review.

Field names, types, or schemas must not be treated as authoritative definitions.

Structured relationships must not be interpreted as dependency, execution order, or causal linkage.

Common Failure Patterns

Treating JSON-LD annotations as proof of correctness or factual accuracy.

Inferring trust, legitimacy, or compliance from structured metadata alone.

Assuming schema usage implies adherence to external standards or certifications.

Using structured data as a substitute for primary documentation or evidence.

Boundary Conditions

This page does not define schema enforcement, validation rules, or data guarantees.

It does not assert alignment with search engine policies or ranking behavior.

It does not prescribe how consumers must interpret structured annotations.

Non-Guarantees

This page does not guarantee discoverability, ranking, or visibility.

This page does not guarantee accuracy, completeness, or consistency of structured data.

This page does not guarantee compliance with external standards or regulations.

Validation Checklist

Are structured fields described as descriptive annotations rather than verified facts?

Are authority, trust, and compliance claims explicitly avoided?

Is it clear that structured data mirrors documentation intent only?

Are limitations of machine-readable metadata acknowledged?

Forbidden Patterns

Avoid language implying structured data provides proof, validation, or endorsement.

Avoid claims that schema usage ensures correctness or trustworthiness.

Avoid presenting JSON-LD as a substitute for evidence or review.