Remove duplicate tasks (same text in today + backlog) and stale abandoned tasks (backlog items with no priority, no deadline, no tags, vague description).
AI agents call autoCleanup to permanently remove resources in Knowledge MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool performs irreversible deletion of data (tasks) based on algorithmic criteria rather than explicit user requests. While the intent is benign cleanup, the automatic removal of backlog items—even if abandoned—cannot be undone and may inadvertently delete legitimate tasks if the heuristics are imprecise or if priorities/deadlines/tags are intentionally sparse.
From the tool's definition Remove duplicate tasks...and stale abandoned tasks...with no priority, no deadline, no tags, vague description—the tool irreversibly deletes tasks from the backlog without explicit user confirmation for each item, applying automated heuristics to determine…
Attacks that exploit this kind of access
Remove duplicate tasks (same text in today + backlog) and stale abandoned tasks (backlog items with no priority, no deadline, no tags, vague description). It is categorised as a Destructive tool in the Knowledge MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Knowledge MCP Server MCP server in PolicyLayer and add a rule for autoCleanup: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Knowledge MCP Server. Nothing to install.
autoCleanup is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the autoCleanup rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for autoCleanup. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
autoCleanup is provided by the Knowledge MCP Server MCP server (vuluu2k/knowledge_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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