Clean up expired working memories
AI agents call cleanup_expired_working_memory to permanently remove resources in AGI MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cleaning up expired working memories implies irreversible deletion of memory records. Although they are 'expired' (suggesting they may be low-value), the operation cannot be undone and permanently removes data from the persistent memory system. This qualifies as Destructive. Severity is medium because the affected data is expired/stale, limiting the blast radius compared to deleting active memories.
From the tool's definition 'Clean up expired working memories' — removes/deletes memory entries that have expired
Documented attack patterns abuse exactly the kind of access cleanup_expired_working_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AGI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cleanup_expired_working_memory:
{
"version": "1",
"default": "deny",
"hide": [
"cleanup_expired_working_memory"
]
} cleanup_expired_working_memory disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Clean up expired working memories. It is categorised as a Destructive tool in the AGI MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AGI MCP Server MCP server in PolicyLayer and add a rule for cleanup_expired_working_memory: 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 AGI MCP Server. Nothing to install.
cleanup_expired_working_memory 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 cleanup_expired_working_memory 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 cleanup_expired_working_memory. 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.
cleanup_expired_working_memory is provided by the AGI MCP Server MCP server (quixiai/agi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AGI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 AGI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.