Decompose a goal into tasks using AI. Returns task IDs that were created.
AI agents use decompose_goal to create or update resources in Agent Runtime — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Runtime environment.
This tool creates new task records (decomposed from a goal) as indicated by 'Returns task IDs that were created.' It is a Write operation since it creates data reversibly. There is no indication of code execution, deletion, or financial operations.
From the tool's definition Decompose a goal into tasks using AI. Returns task IDs that were created.
Attacks that exploit this kind of access
Decompose a goal into tasks using AI. Returns task IDs that were created. It is categorised as a Write tool in the Agent Runtime MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Runtime 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 Agent Runtime. Nothing to install.
decompose_goal 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 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 Agent Runtime MCP server (marc-shade/agent-runtime-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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