lake_query

THE RISK

Low Risk

Why lake_query needs a policy

With no description available, classification is uncertain. The name suggests a Read/Execute operation (querying a data lake), but on an SNS/SQS server this is unexpected. Lowering confidence significantly due to lack of description. Defaulting to Other given the mismatch between tool name and server context, with medium severity due to unknown blast radius.

From the tool's definition Tool description is empty and uninformative; the name 'lake_query' suggests a data lake query operation

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

POLICY

How to control lake_query

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

policy.json

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

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

Create a free account and register Awslabs Amazon Sns Sqs — 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

Related tools and policies

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All 805 Awslabs Amazon Sns Sqs tools →

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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.
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 →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about lake_query

What does the lake_query tool do? +

lake_query. It is categorised as a Other tool in the Awslabs Amazon Sns Sqs MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on lake_query? +

Register the Awslabs Amazon Sns Sqs 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 Awslabs Amazon Sns Sqs. Nothing to install.

What risk level is lake_query? +

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

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 Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-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 Awslabs Amazon Sns Sqs tool call.

Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →