Get a specific image generation preset by ID, including full configuration details
AI agents call get_image_generation_preset 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.
The tool retrieves configuration details for an image generation preset by ID. This is a read-only operation that queries existing data without side effects, modifications, or external command execution. The low severity reflects that unauthorized access to preset configurations poses minimal risk in a game context.
From the tool's definition Tool name 'get_image_generation_preset' and description 'Get a specific image generation preset by ID, including full configuration details' indicate a retrieval operation with no modification of state.
Documented attack patterns abuse exactly the kind of access get_image_generation_preset 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 get_image_generation_preset:
{
"version": "1",
"default": "deny",
"tools": {
"get_image_generation_preset": {}
}
} get_image_generation_preset is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a specific image generation preset by ID, including full configuration details. It is categorised as a Read tool in the DMCP MCP Server, which means it retrieves data without modifying state.
Register the D MCP server in PolicyLayer and add a rule for get_image_generation_preset: 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.
get_image_generation_preset is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_image_generation_preset 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 get_image_generation_preset. 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.
get_image_generation_preset 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.