self_test

THE RISK

Low Risk

Why self_test needs a policy

With no description available, the tool name 'self_test' most likely refers to a diagnostic or health-check routine with no significant side effects. Given the server context (memory/knowledge graph), it likely runs internal validation. Confidence is low due to the empty description, but self-test tools are typically read-only diagnostics, placing this in Other/low severity.

From the tool's definition Tool name is 'self_test'; description is empty and uninformative.

Documented attack patterns abuse exactly the kind of access self_test gives an agent:

POLICY

How to control self_test

PolicyLayer is an MCP gateway — it sits between your AI agents and Turbo Quant Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for self_test:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "self_test": {
      "limits": [
        {
          "counter": "self_test_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

self_test gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register Turbo Quant Memory MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about self_test

What does the self_test tool do? +

self_test. It is categorised as a Other tool in the Turbo Quant Memory MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on self_test? +

Register the Turbo Quant Memory MCP Server MCP server in PolicyLayer and add a rule for self_test: 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 Turbo Quant Memory MCP Server. Nothing to install.

What risk level is self_test? +

self_test is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit self_test? +

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

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

self_test is provided by the Turbo Quant Memory MCP Server MCP server (lexus2016/turbo_quant_memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Turbo Quant Memory MCP Server tool call.

Start from Turbo Quant Memory MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →