High Risk →

compose_prompt

Run the canonical ClarifyPrompt pipeline in ONE call: clarify (optional pre-stage) → ground OR optimize (core) → critique (optional post-stage) → optional auto-revise. Use this when you want the four-tool happy path without orchestrating five round-trips. Short-circuits if

Part of the Clarifyprompt server.

compose_prompt can trigger actions in Clarifyprompt, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke compose_prompt to trigger processes or run actions in Clarifyprompt. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

compose_prompt can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "compose_prompt": {
      "limits": [
        {
          "counter": "compose_prompt_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Clarifyprompt policy for all 28 tools.

Get this rule live on your own Clarifyprompt server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access compose_prompt gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so compose_prompt only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the compose_prompt tool do? +

Run the canonical ClarifyPrompt pipeline in ONE call: clarify (optional pre-stage) → ground OR optimize (core) → critique (optional post-stage) → optional auto-revise. Use this when you want the four-tool happy path without orchestrating five round-trips. Short-circuits if. It is categorised as a Execute tool in the Clarifyprompt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on compose_prompt? +

Register the Clarifyprompt MCP server in PolicyLayer and add a rule for compose_prompt: 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 Clarifyprompt. Nothing to install.

What risk level is compose_prompt? +

compose_prompt is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit compose_prompt? +

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

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

compose_prompt is provided by the Clarifyprompt MCP server (clarifyprompt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Clarifyprompt tool call.

Deterministic rules across all 28 Clarifyprompt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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