readonly_query · Amazon Translate MCP Server MCP

WHAT IT DOES

What readonly_query does on Amazon Translate MCP Server

AI agents call readonly_query to retrieve information from Amazon Translate MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why readonly_query needs a policy

The naming convention 'readonly_query' strongly suggests a read-only operation that retrieves data without side effects. Despite the empty description, the tool name itself is sufficiently explicit to classify this as a Read operation. The low severity reflects the absence of data modification, deletion, or code execution capabilities.

From the tool's definition Tool name 'readonly_query' explicitly includes the 'readonly' prefix, indicating it performs queries without modification. Description is empty, which reduces confidence slightly.

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

POLICY

How to control readonly_query

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 readonly_query:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "readonly_query": {}
  }
}

readonly_query is read-only, so it stays allowed — but 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.

CAP THIS TOOL →

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EXPLORE

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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.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
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 readonly_query

What does the readonly_query tool do? +

readonly_query. It is categorised as a Read tool in the Amazon Translate MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on readonly_query? +

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

What risk level is readonly_query? +

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

Can I rate-limit readonly_query? +

Yes. Add a rate_limit block to the readonly_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 readonly_query completely? +

Set action: deny in the PolicyLayer policy for readonly_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 readonly_query? +

readonly_query 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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