Describe the parameters of a DeepMind FX effect type by name or internal type number. With no argument, lists all 35 available effect types and their internal values. With a type, returns the full param schema: settable names (fxN.<effect>.<key>), display units, min/max, enum labels, and mod-dest...
AI agents call describe_fx_type to retrieve information from Patchwork Deepmind without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays metadata about available effect types and their parameters. It does not modify synth settings, execute commands, or trigger audio processing—it merely provides information to help users understand the synthesizer's capabilities. This is a classic Read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool description states it "Describe[s] the parameters" and "returns the full param schema" with "no side effects" implied.
Attacks that exploit this kind of access
Describe the parameters of a DeepMind FX effect type by name or internal type number. With no argument, lists all 35 available effect types and their internal values. With a type, returns the full param schema: settable names (fxN.<effect>.<key>), display units, min/max, enum labels, and mod-destination flags. Use this to plan FX configuration without loading the effect first. It is categorised as a Read tool in the Patchwork Deepmind MCP Server, which means it retrieves data without modifying state.
Register the Patchwork Deepmind MCP server in PolicyLayer and add a rule for describe_fx_type: 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 Patchwork Deepmind. Nothing to install.
describe_fx_type 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 describe_fx_type 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 describe_fx_type. 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.
describe_fx_type is provided by the Patchwork Deepmind MCP server (truthanb/patchwork-deepmind). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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