Low Risk

get_game_preferences

Get the saved game preferences for a game

How to control get_game_preferences ↓

What get_game_preferences does on DMCP

AI agents call get_game_preferences to retrieve information from DMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_game_preferences needs a policy

This tool only retrieves stored game preference data without creating, modifying, deleting, or executing any external operations. It is a simple read operation consistent with a get/fetch pattern.

From the tool's definition Tool name 'get_game_preferences' and description 'Get the saved game preferences for a game' indicate a retrieval operation with no modification or side effects.

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

How to control get_game_preferences

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 get_game_preferences:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_game_preferences": {}
  }
}

get_game_preferences is read-only, so it stays allowed — but 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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Related tools and policies

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Questions about get_game_preferences

What does the get_game_preferences tool do? +

Get the saved game preferences for a game. It is categorised as a Read tool in the DMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_game_preferences? +

Register the D MCP server in PolicyLayer and add a rule for get_game_preferences: 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 get_game_preferences? +

get_game_preferences is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_game_preferences? +

Yes. Add a rate_limit block to the get_game_preferences 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 get_game_preferences completely? +

Set action: deny in the PolicyLayer policy for get_game_preferences. 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 get_game_preferences? +

get_game_preferences 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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204 DMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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