optimize_query · Ai Analyst MCP: Risk & Policy

WHAT IT DOES

What optimize_query does on Ai Analyst

AI agents invoke optimize_query to trigger actions in Ai Analyst. 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 optimize_query needs a policy

The name implies running or rewriting a query for performance. In the context of an analytics server with 'execute_workflow' and 'run_query'-style sibling tools, this likely triggers some form of query execution or transformation. However, the empty description significantly lowers confidence.

From the tool's definition Tool name 'optimize_query' suggests query execution or modification; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

optimize_query Rate-limited

optimize_query 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": {
    "optimize_query": {
      "limits": [
        {
          "counter": "optimize_query_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 Ai Analyst, so you can run agents against it safely.

FAQ

Questions about optimize_query

What does the optimize_query tool do? +

optimize_query. It is categorised as a Execute tool in the Ai Analyst MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on optimize_query? +

Register the Ai Analyst MCP server in PolicyLayer and add a rule for optimize_query: 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 Ai Analyst. Nothing to install.

What risk level is optimize_query? +

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

Can I rate-limit optimize_query? +

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

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

optimize_query is provided by the Ai Analyst MCP server (sbdk-dev/local-ai-analyst). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.