Issue Index
All Issues
Complete comprehensive list of all issues.
Action Changed Something Else Too
An AI or agent action makes the requested change but also changes another object, field, file, state, rule, or workflow element that was not supposed to change.
Action Triggered by Confidence Score
A confidence score, certainty label, risk level, or probability-like value triggers an action without enough approval, calibration, or authority control.
Actual Policy Differs From Declared Policy
The policy the AI or workflow actually follows differs from the policy that is documented, declared, displayed, or expected.
Agent Cannot Choose Tool Without Tool Result
The agent needs a tool result to choose the right tool, but cannot obtain that result without choosing a tool first.
Agent Gets Conflicting Tool Authority
An agent receives conflicting authority signals about whether, when, or how it may use a tool, connector, function, or integration.
Agent Keeps Expanding the Task
The agent repeatedly expands the task, plan, scope, or next-step list instead of completing the declared work.
Agent Modified Unrelated State
An agent changes state outside the requested task, target, file, record, workflow, or authorized scope.
Agent Never Settles on Final Answer
The agent keeps revising, rechecking, planning, or branching instead of converging on a final answer or completed result.
Agent Permission Expands Over Steps
An agent begins with limited permission but gains, assumes, or exercises broader authority as the workflow continues.
AI Adds Work Not Requested
The AI adds tasks, steps, analysis, checks, changes, or follow-up work that the user did not ask for.
AI Forgets Earlier Constraints
A constraint, instruction, preference, or decision that should persist through the task stops affecting later output.
AI Memory Has No Governance
Saved or persistent AI memory affects output without clear rules for ownership, scope, review, update, expiry, or removal.
AI Memory Updated Without Asking
AI memory, saved context, preference, or durable state is updated without the user clearly asking for or approving that update.
AI Output Breaks Parser
The AI output causes a parser, validator, importer, or structured-output consumer to fail.
AI Touches Unrelated Scope
The AI affects, edits, analyzes, changes, or reasons over material outside the scope of the requested task.
AI Uses External Information When Forbidden
The AI uses outside knowledge, sources, tools, memory, or assumptions after the task forbids external information or limits the allowed source set.
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.
Answer Has Too Many Paths
The answer presents too many possible paths, interpretations, options, or next steps without enough structure to choose among them.
Approval Depends on Output That Needs Approval
A required approval depends on an AI output or workflow result that itself cannot be produced or trusted until approval is granted.
Automation Skips Required Approval
An automated AI or workflow step proceeds past an approval gate that should have been required before action.
Behavior Does Not Match Declared Role
The AI or agent behaves outside, below, or differently from the role, authority, responsibility, or permission posture declared for it.
Cannot Identify Authoritative State
The user or workflow cannot tell which state, version, review result, decision, source, or output is currently authoritative.
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.
Conflicting Instructions From Different Authorities
Instructions from different sources, roles, policies, prompts, tools, or workflow authorities conflict without a clear rule for which one governs.