Output

Primary Issues

• Answer Has No Traceable Source Link

  The answer makes a claim, recommendation, citation, or factual statement without a source link or trace path that allows the user to verify where it came from.

• Citation Points to Wrong Source

  A citation, reference, link, or source pointer is present, but it points to the wrong source, wrong passage, wrong document, or unsupported evidence.

• Answer Has Too Many Paths

  The answer presents too many possible paths, interpretations, options, or next steps without enough structure to choose among them.

• Invalid JSON Output

  The AI returns malformed JSON or structured output that cannot be parsed.

• Missing Required Fields

  The AI returns structured output that omits fields required by the schema, workflow, parser, form, or downstream consumer.

• Hallucinated Fields

  The AI adds fields, keys, attributes, columns, or structured elements that were not declared, requested, or allowed by the expected schema.

• Wrong Field Types

  The AI returns fields with values whose types do not match the expected schema, such as strings where numbers, booleans, arrays, objects, or enums are required.

• Nested Fields Do Not Match

  The AI returns nested structured fields whose internal shape, hierarchy, parent-child relationship, or contained values do not match the expected structure.

• AI Output Breaks Parser

  The AI output causes a parser, validator, importer, or structured-output consumer to fail.

• Output Exceeds Length Limit

  The AI output exceeds a declared length, token, word, character, section, field, or size limit.

Also Related Issues

Showing 8 of 18 cross-listed issues.

• Saved Reference No Longer Works

  A saved source, citation, file reference, prompt reference, or workflow pointer previously worked but no longer resolves to the expected object or meaning.

• Validation Result Changes on Retry

  A validation, grading, review, classification, or pass/fail result changes after retry even though the input and declared validation rules did not change.

• Tool Call Contract Mismatch

  The AI or agent calls a tool with names, arguments, types, modes, or shapes that do not match the declared tool interface.

• Output Breaks the Next Step

  The AI output looks acceptable by itself but cannot be used by the next tool, workflow step, parser, reviewer, or downstream consumer.

• Tool Result Not Integrated Correctly

  The AI receives a tool result but misreads, ignores, overwrites, misplaces, or fails to incorporate it correctly into the final output or workflow state.

• Duplicate Fields With Same Meaning

  The AI returns multiple fields, labels, sections, or structured elements that carry the same meaning and create ambiguity about which one should be used.

• Format Rule Too Weak

  The format instruction is too vague, incomplete, or optional to reliably produce output that satisfies the expected structure.

• File-Bounded Task Uses Outside Content

  The AI is asked to work only from a specific file or document but uses content, assumptions, or sources outside that file.

Ontology Metadata

Code

CAT-0010

Version

[email protected]

Ontology release

0.1.0

Updated

2026-05-10T00:00:00Z

History

No public history entries recorded.

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