ExecuteRangeQuery

THE RISK

High Risk

Why ExecuteRangeQuery needs a policy

The term 'Execute' in the tool name combined with 'Query' indicates dynamic code/query execution whose side effects depend on the range parameters provided. Without a description to constrain the scope, there is reasonable risk that an agent could execute overly broad queries or queries against sensitive data. This warrants Execute category rather than Read due to the explicit 'Execute' verb.

From the tool's definition Tool name 'ExecuteRangeQuery' indicates execution of a query operation. While the description is empty and uninformative, the name suggests running/executing a query with potentially flexible parameters.

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

POLICY

How to control ExecuteRangeQuery

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

policy.json

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

ExecuteRangeQuery 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.

Create a free account and register Amazon Translate 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon Translate MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
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 ExecuteRangeQuery

What does the ExecuteRangeQuery tool do? +

ExecuteRangeQuery. It is categorised as a Execute tool in the Amazon Translate 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 ExecuteRangeQuery? +

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

What risk level is ExecuteRangeQuery? +

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

Can I rate-limit ExecuteRangeQuery? +

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

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

ExecuteRangeQuery is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-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 Translate MCP Server tool call.

Start from Amazon Translate MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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