decompose_goal
AI agents invoke decompose_goal to trigger actions in Cluster Execution MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The description is empty, which lowers confidence. However, given the server context (cluster execution, agentic workflows, task routing), 'decompose_goal' likely breaks down a high-level goal into subtasks and routes them for execution across distributed nodes. This implies execution of commands or tasks across a cluster, which is potentially high-severity.
From the tool's definition Tool name is 'decompose_goal' on a 'Cluster Execution MCP Server' that supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.
Attacks that exploit this kind of access
decompose_goal. It is categorised as a Execute tool in the Cluster Execution MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cluster Execution MCP Server MCP server in PolicyLayer and add a rule for decompose_goal: 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 Cluster Execution MCP Server. Nothing to install.
decompose_goal is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the decompose_goal 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 decompose_goal. 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.
decompose_goal is provided by the Cluster Execution MCP Server MCP server (marc-shade/cluster-execution-mcp). 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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