ruvector-optimize · Claude Flow MCP: Risk & Policy

WHAT IT DOES

What ruvector-optimize does on Claude Flow

AI agents invoke ruvector-optimize to trigger actions in Claude Flow. 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 ruvector-optimize needs a policy

Index tuning implies structural changes to database indexes (creating, dropping, or rebuilding indexes) and altering query plans. This goes beyond read-only analysis and involves executing optimization operations that modify database internals. In an enterprise AI orchestration context, an autonomous 'self-learning' optimizer could make broad, difficult-to-reverse schema-level changes, raising the severity to high.

From the tool's definition 'Self-learning query optimization and index tuning' — actively modifies index structures and query execution plans

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ruvector-optimize Rate-limited

ruvector-optimize 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": {
    "ruvector-optimize": {
      "limits": [
        {
          "counter": "ruvector-optimize_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 Claude Flow, so you can run agents against it safely.

FAQ

Questions about ruvector-optimize

What does the ruvector-optimize tool do? +

Self-learning query optimization and index tuning. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ruvector-optimize? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for ruvector-optimize: 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 Claude Flow. Nothing to install.

What risk level is ruvector-optimize? +

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

Can I rate-limit ruvector-optimize? +

Yes. Add a rate_limit block to the ruvector-optimize 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 ruvector-optimize completely? +

Set action: deny in the PolicyLayer policy for ruvector-optimize. 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 ruvector-optimize? +

ruvector-optimize is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.