prompt_to_project · Helios-9 MCP Server MCP: Risk & Policy

WHAT IT DOES

What prompt_to_project does on Helios-9 MCP Server

AI agents use prompt_to_project to create or update resources in Helios-9 MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Helios-9 MCP Server environment.

WHY IT NEEDS A POLICY

Why prompt_to_project needs a policy

The tool creates new project entities based on agent input in create mode, which is a reversible Write operation. While it automates project creation from natural language, the resulting projects can be modified or deleted. The 'high' severity reflects that an AI agent with unrestricted use could create many unwanted projects, generating significant cleanup overhead.

From the tool's definition Tool description states it 'executes the agent-provided plan' in create mode, which creates structured project entities. The tool name and description indicate project creation ('Convert...into structured project entities').

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

prompt_to_project Rate-limited

prompt_to_project stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "prompt_to_project": {
      "limits": [
        {
          "counter": "prompt_to_project_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Helios-9 MCP Server, so you can run agents against it safely.

FAQ

Questions about prompt_to_project

What does the prompt_to_project tool do? +

Convert a natural language project description into structured project entities. In analyze mode, returns a template for the AI agent to fill. In create mode, executes the agent-provided plan. It is categorised as a Write tool in the Helios-9 MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on prompt_to_project? +

Register the Helios-9 MCP Server MCP server in PolicyLayer and add a rule for prompt_to_project: 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 Helios-9 MCP Server. Nothing to install.

What risk level is prompt_to_project? +

prompt_to_project is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit prompt_to_project? +

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

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

prompt_to_project is provided by the Helios-9 MCP Server MCP server (jakedx6/helios9-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.