utility_refresh_cache

THE RISK

Low Risk

Why utility_refresh_cache needs a policy

The tool name suggests it refreshes a cache, which is a utility/maintenance operation. Without a description, it's unclear whether this has side effects beyond invalidating and repopulating cached data. Cache refresh is typically a benign write-like operation with low blast radius. Confidence is low due to empty description.

From the tool's definition Tool name is 'utility_refresh_cache'; description is empty or uninformative.

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

POLICY

How to control utility_refresh_cache

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

policy.json

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

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

Create a free account and register TdxQuant 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 utility_refresh_cache

What does the utility_refresh_cache tool do? +

utility_refresh_cache. It is categorised as a Other tool in the TdxQuant MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on utility_refresh_cache? +

Register the TdxQuant MCP Server MCP server in PolicyLayer and add a rule for utility_refresh_cache: 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 TdxQuant MCP Server. Nothing to install.

What risk level is utility_refresh_cache? +

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

Can I rate-limit utility_refresh_cache? +

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

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

utility_refresh_cache is provided by the TdxQuant MCP Server MCP server (lingfan/tdxquant-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TdxQuant MCP Server tool call.

Start from TdxQuant 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 →