lake_query · Amazon MQ MCP Server MCP: Risk & Policy

WHAT IT DOES

What lake_query does on Amazon MQ MCP Server

AI agents invoke lake_query to trigger actions in Amazon MQ 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.

WHY IT NEEDS A POLICY

Why lake_query needs a policy

The name 'lake_query' implies executing queries against a data lake (e.g., AWS Lake Formation or S3-based data lake). Query tools can execute arbitrary SQL/code with potentially broad data access. However, the empty description significantly lowers confidence. Given the most severe plausible interpretation, Execute is chosen over Read since 'query' can involve arbitrary execution.

From the tool's definition Tool name 'lake_query' suggests query execution, likely against a data lake. Description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

lake_query Rate-limited

lake_query 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "lake_query": {
      "limits": [
        {
          "counter": "lake_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon MQ MCP Server, so you can run agents against it safely.

FAQ

Questions about lake_query

What does the lake_query tool do? +

lake_query. It is categorised as a Execute tool in the Amazon MQ 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 lake_query? +

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

What risk level is lake_query? +

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

Can I rate-limit lake_query? +

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

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

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