list_sub_check_rule_results

THE RISK

Low Risk

Why list_sub_check_rule_results needs a policy

The tool name begins with 'list', a classic Read operation that retrieves data without modification. The absence of description lowers confidence slightly, but the naming convention strongly suggests this queries or retrieves check rule results rather than modifying, executing, or deleting data. Blast radius is minimal for a read-only operation.

From the tool's definition Tool name 'list_sub_check_rule_results' implies retrieval of results; 'list' operation is a non-mutating query pattern. No description provided to confirm intent.

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

POLICY

How to control list_sub_check_rule_results

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_sub_check_rule_results": {}
  }
}

list_sub_check_rule_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon Redshift 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.

CAP THIS TOOL →

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about list_sub_check_rule_results

What does the list_sub_check_rule_results tool do? +

list_sub_check_rule_results. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_sub_check_rule_results? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for list_sub_check_rule_results: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is list_sub_check_rule_results? +

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

Can I rate-limit list_sub_check_rule_results? +

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

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

list_sub_check_rule_results is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

Start from Amazon Redshift 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 →