Clean up expired cache entries and return the number of entries removed
AI agents call cleanup_expired_cache to permanently remove resources in Toonify — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes expired cache entries from storage. While the entries are expired (and thus low-value), the deletion is not reversible. The blast radius is low because only expired entries are targeted, limiting the risk of meaningful data loss, but the action is inherently destructive (delete/purge semantics).
From the tool's definition "Clean up expired cache entries" and "number of entries removed" — explicitly removes/deletes cache entries
Documented attack patterns abuse exactly the kind of access cleanup_expired_cache gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Toonify, and nothing reaches the server without passing your rules. This is the rule we recommend for cleanup_expired_cache:
{
"version": "1",
"default": "deny",
"hide": [
"cleanup_expired_cache"
]
} cleanup_expired_cache 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 expired cache entries and return the number of entries removed. It is categorised as a Destructive tool in the Toonify MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Toonify MCP server in PolicyLayer and add a rule for cleanup_expired_cache: 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 Toonify. Nothing to install.
cleanup_expired_cache 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_cache 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_cache. 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_cache is provided by the Toonify MCP server (pcircle-ai/toonify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Toonify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
5 Toonify tools catalogued and risk-classified — across an index of 42,500+ MCP servers.