Permanently delete memories based on criteria
AI agents call prune_memories 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.
Although memory deletion in an AI context does not affect financial systems or external data, permanent deletion of the AI system's persistent memory state represents a severe and irreversible loss. An agent with access to this tool could maliciously erase critical memory records (episodic, semantic, procedural, or strategic) that the AI relies on for continuity and decision-making.
From the tool's definition The tool description explicitly states 'Permanently delete memories' — the action is irreversible and cannot be undone. This meets the definition of Destructive: 'irreversibly deletes or overwrites data, or actions that cannot be undone.'
Documented attack patterns abuse exactly the kind of access prune_memories 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 prune_memories:
{
"version": "1",
"default": "deny",
"hide": [
"prune_memories"
]
} prune_memories 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.
Permanently delete memories based on criteria. 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 prune_memories: 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.
prune_memories 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 prune_memories 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 prune_memories. 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.
prune_memories 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.