High Risk →

StartAHORun

StartAHORun

How to control StartAHORun ↓

What StartAHORun does on AWS Labs Aurora DSQL MCP Server

AI agents invoke StartAHORun to trigger actions in AWS Labs Aurora DSQL MCP Server. 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.

High Risk

Why StartAHORun needs a policy

This tool appears to trigger execution of database operations or queries on AWS Aurora DSQL. While the empty description reduces confidence slightly, the naming convention ('Start' + 'Run') clearly indicates initiation of an operation whose outcome depends on parameters provided by the caller.

From the tool's definition Tool name 'StartAHORun' indicates it initiates an AHO (Aurora Heterogeneous Operations) run, which is an execution operation.

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

How to control StartAHORun

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 StartAHORun:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "StartAHORun": {
      "limits": [
        {
          "counter": "startahorun_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

StartAHORun 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.

  1. Create a free account and register AWS Labs Aurora DSQL MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about StartAHORun

What does the StartAHORun tool do? +

StartAHORun. It is categorised as a Execute tool in the AWS Labs Aurora DSQL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on StartAHORun? +

Register the AWS Labs Aurora DSQL MCP Server MCP server in PolicyLayer and add a rule for StartAHORun: 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 StartAHORun? +

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

Can I rate-limit StartAHORun? +

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

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

StartAHORun 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.

Free to start. No card required.

805 AWS Labs Aurora DSQL MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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