DiagnoseAHORunFailure

THE RISK

Low Risk

Why DiagnoseAHORunFailure needs a policy

The description is empty, making classification uncertain. The name 'DiagnoseAHORunFailure' suggests a diagnostic read operation that analyzes failure information for AHO runs, which would be a Read category. However, without a description, we cannot be certain it doesn't trigger remediation actions. Confidence is low; defaulting to Other due to insufficient information, though Read is plausible.

From the tool's definition Tool name 'DiagnoseAHORunFailure' and empty description; name suggests diagnostic/read operation for AHO run failures

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

POLICY

How to control DiagnoseAHORunFailure

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

policy.json

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

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

Create a free account and register AWS Labs Aurora DSQL 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 DiagnoseAHORunFailure

What does the DiagnoseAHORunFailure tool do? +

DiagnoseAHORunFailure. It is categorised as a Other tool in the AWS Labs Aurora DSQL MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on DiagnoseAHORunFailure? +

Register the AWS Labs Aurora DSQL MCP Server MCP server in PolicyLayer and add a rule for DiagnoseAHORunFailure: 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 AWS Labs Aurora DSQL MCP Server. Nothing to install.

What risk level is DiagnoseAHORunFailure? +

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

Can I rate-limit DiagnoseAHORunFailure? +

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

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

DiagnoseAHORunFailure is provided by the AWS Labs Aurora DSQL MCP Server MCP server (awslabs.aurora-dsql-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 AWS Labs Aurora DSQL MCP Server tool call.

Start from AWS Labs Aurora DSQL 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 →