Category
Output
Generated results that are malformed, unusable, or hard to verify.
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.