Medium Risk

modify_effect_stacks

Add or remove stacks from a status effect

How to control modify_effect_stacks ↓

What modify_effect_stacks does on DMCP

AI agents use modify_effect_stacks to create or update resources in DMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DMCP environment.

Medium Risk

Why modify_effect_stacks needs a policy

The tool modifies game state (status effect stacks) in a way that can be undone or reversed by adding/removing stacks in the opposite direction. This is characteristic of Write operations (reversible updates) rather than Destructive (irreversible deletion).

From the tool's definition Tool description states 'Add or remove stacks from a status effect' — these are reversible modifications to game state data. The word 'Add' and 'remove' indicate creation and deletion of stacks, not irreversible destruction of the entire effect or character.

Documented attack patterns abuse exactly the kind of access modify_effect_stacks gives an agent:

How to control modify_effect_stacks

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 modify_effect_stacks:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "modify_effect_stacks": {
      "limits": [
        {
          "counter": "modify_effect_stacks_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

modify_effect_stacks stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register DMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Questions about modify_effect_stacks

What does the modify_effect_stacks tool do? +

Add or remove stacks from a status effect. It is categorised as a Write tool in the DMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on modify_effect_stacks? +

Register the D MCP server in PolicyLayer and add a rule for modify_effect_stacks: 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.

What risk level is modify_effect_stacks? +

modify_effect_stacks is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit modify_effect_stacks? +

Yes. Add a rate_limit block to the modify_effect_stacks 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.

How do I block modify_effect_stacks completely? +

Set action: deny in the PolicyLayer policy for modify_effect_stacks. 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.

What MCP server provides modify_effect_stacks? +

modify_effect_stacks 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.

Enforce policy on every DMCP tool call.

Start from DMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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