Remove all status effects from a character (or filter by type/name)
AI agents call clear_status_effects to permanently remove resources in DMCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool irreversibly removes status effects from a character. While 'destructive' in the traditional sense applies to data deletion, removing all status effects is a non-reversible in-game state change (effects are gone unless re-applied). However, the blast radius is low since this is confined to a text-based RPG game state with no real-world consequences.
From the tool's definition Remove all status effects from a character (or filter by type/name)
Documented attack patterns abuse exactly the kind of access clear_status_effects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for clear_status_effects:
{
"version": "1",
"default": "deny",
"hide": [
"clear_status_effects"
]
} clear_status_effects 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.
Remove all status effects from a character (or filter by type/name). It is categorised as a Destructive tool in the DMCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the D MCP server in PolicyLayer and add a rule for clear_status_effects: 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 DMCP. Nothing to install.
clear_status_effects 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 clear_status_effects 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 clear_status_effects. 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.
clear_status_effects is provided by the D MCP server (shawnrushefsky/dmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DMCP, 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.
204 DMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.