AI agents call memory_cleanup to permanently remove resources in Documcp — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool 'memory_cleanup' is described as cleaning up 'old memories', which implies irreversible deletion of stored state or memory data. This falls under Destructive since cleanup/purge operations typically cannot be undone. Confidence is moderate because the description is vague and does not specify exactly what 'memories' are or whether the operation is reversible.
From the tool's definition "Clean up old memories" — implies deletion or removal of stored data
Documented attack patterns abuse exactly the kind of access memory_cleanup gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_cleanup:
{
"version": "1",
"default": "deny",
"hide": [
"memory_cleanup"
]
} memory_cleanup disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Clean up old memories. It is categorised as a Destructive tool in the Documcp MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Docu MCP server in PolicyLayer and add a rule for memory_cleanup: 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 Documcp. Nothing to install.
memory_cleanup 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 memory_cleanup 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 memory_cleanup. 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.
memory_cleanup is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 Documcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.