Apply a status effect to a character (handles stacking automatically)
AI agents use apply_status_effect 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.
This tool creates or modifies game state data by applying temporary or persistent status effects to a character. While status effects can have mechanical consequences in gameplay, they are part of normal game progression and are typically reversible (removal of effects, recovery, etc.). This fits the Write category as it alters data without permanent deletion or financial impact.
From the tool's definition 'Apply a status effect to a character' indicates modification of character state within a game system. The description explicitly states the tool modifies character data (applying status effects and handling stacking), which is a reversible change to game…
Documented attack patterns abuse exactly the kind of access apply_status_effect 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 apply_status_effect:
{
"version": "1",
"default": "deny",
"tools": {
"apply_status_effect": {
"limits": [
{
"counter": "apply_status_effect_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}apply_status_effect 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.
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Apply a status effect to a character (handles stacking automatically). 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.
Register the D MCP server in PolicyLayer and add a rule for apply_status_effect: 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.
apply_status_effect is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the apply_status_effect 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 apply_status_effect. 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.
apply_status_effect 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.
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204 DMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.