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AI Agent ReadinessHigh Affects your score

Form fields are labelled

AGENTIC_INPUTS_LABELLED

An agent filling a form matches your labels to what it was asked to enter. An unlabelled field is one it must guess at - and a wrong guess in a checkout is worse than a refusal.

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How this rule is weighted

Importance
8 / 10
How much this matters relative to other rules.
Confidence
SPECIFICATION
A standard says so: HTML, WCAG, an RFC or Google's own documentation.
Severity
error
How the finding is presented when it fails.
Scoring
Counts
A failure costs points in its category.

Impact is importance multiplied by the confidence tier’s weight — SPECIFICATION 1.0, RESEARCH 0.7, EMERGING 0.3, EXPERIMENTAL 0.1. Two rules backed by the same class of evidence therefore always carry the same weight, which is what makes the score reproducible rather than hand-tuned.

Questions about this rule

Does AGENTIC_INPUTS_LABELLED affect my score?
Yes. It is an importance 8 rule at SPECIFICATION confidence, so a failure costs 8 × 1 points of impact in the AI Agent Readiness category before that category is normalised to 100.
What does SPECIFICATION confidence mean?
A standard says so: HTML, WCAG, an RFC or Google's own documentation. Confidence is a declared tier rather than a per-rule number, so every rule backed by the same class of evidence carries the same weight - which is what makes the score reproducible instead of hand-tuned.
How do I check AGENTIC_INPUTS_LABELLED on my own site?
Paste your URL into the box above and it runs only this rule, usually in a couple of seconds. It is also included in the AI Agent Readiness checker and in a full scan.

Tags

  • agentic
  • transact

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