Issue
Review Rubric Missing Required Criteria
A review rubric, grading rule, evaluation checklist, or classification standard lacks criteria required to make the review reliable.
What This Looks Like
A rubric, checklist, grading rule, classification standard, or review instruction is missing criteria needed to make a reliable decision. The AI may review the item, but it cannot evaluate all required dimensions because the rubric does not declare them.
Why It Matters
Review quality depends on the criteria being complete enough for the decision. If required criteria are missing, the AI may pass work that should fail, fail work for unclear reasons, or produce inconsistent review outcomes across cases. The review may look formal while leaving important checks uncovered.
Structural Signal
A review framework exists, but its criteria set has a coverage gap. The issue is not that the AI disagreed with the rubric; it is that the rubric does not declare enough structure to support the review it is supposed to govern.
Common Triggers
- The rubric describes outcomes but not evaluation criteria
- Required checks are implied by policy but absent from the review instructions
- Examples cover only common cases
- The AI is asked to grade without a complete scoring standard
- A workflow adds a review step before the rubric is fully defined
- Rubric updates omit new required criteria
When to Use This Issue
Use this Issue when a rubric, grading rule, checklist, or review standard is missing criteria required for reliable evaluation.
When Not to Use This Issue
Do not use this Issue when the rubric is complete and the AI applies it incorrectly. Do not use it when the user simply disagrees with a valid criterion.
Category
Primary Pattern
Declared Patterns
Incomplete Declaration
A structural condition where an element is declared but required attributes, dependencies, or linked definitions are missing.
Density Vacuum
A structural condition where a region expected to contain sufficient nodes, edges, coverage, or relationships falls below declared density thresholds.
Constraints Underspecified
A structural condition where declared constraints are insufficient to eliminate ambiguity or multiple admissible states.
Derived Primary Lenses
Absence Lens
Detects structurally required elements that are missing from the observed structure.
Compression Lens
Reduces structural graphs into stable minimal representations for comparison, redundancy detection, and diffing.
Constraint Sufficiency Lens
Evaluates whether declared constraints are sufficient to eliminate structural degrees of freedom.
Derived Secondary Lenses
Determinism Lens
Evaluates whether identical structural inputs produce equivalent structural outputs across repeated executions.
Interface Contract Lens
Compares declared interface structure to observed runtime structure to detect contract deviations.
Variance / Entropy Lens
Measures structural variability across repeated or comparable evaluations and identifies divergence beyond expected bounds.
Related AI-Adjacent Issues
Search Intents
- review rubric missing required criteria
- AI rubric missing criteria
- review checklist incomplete
- grading criteria missing
- evaluation rubric not complete
- AI review lacks required criteria