ruvltra_scale_workers · Ruvltra MCP: Risk & Policy

WHAT IT DOES

What ruvltra_scale_workers does on Ruvltra

AI agents invoke ruvltra_scale_workers to trigger actions in Ruvltra. 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.

WHY IT NEEDS A POLICY

Why ruvltra_scale_workers needs a policy

Scaling worker pools triggers external operations that affect system behavior and resource allocation. While constrained by min/max bounds (reducing blast radius), it is an active operation that modifies system state in ways that depend on the scaling arguments provided. This is neither a simple read operation nor a reversible data modification—it's infrastructure-level execution.

From the tool's definition Tool description states it 'Scale worker pool size within configured min/max.' This performs operational control over infrastructure resources (worker processes).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ruvltra_scale_workers Rate-limited

ruvltra_scale_workers stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ruvltra_scale_workers": {
      "limits": [
        {
          "counter": "ruvltra_scale_workers_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about ruvltra_scale_workers

What does the ruvltra_scale_workers tool do? +

Scale worker pool size within configured min/max. It is categorised as a Execute tool in the Ruvltra MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ruvltra_scale_workers? +

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

What risk level is ruvltra_scale_workers? +

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

Can I rate-limit ruvltra_scale_workers? +

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

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

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