describe_supported_languages

WHAT IT DOES

What describe_supported_languages does on Amazon Data Processing MCP Server

AI agents call describe_supported_languages to retrieve information from Amazon Data Processing 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 describe_supported_languages needs a policy

The name suggests this tool retrieves metadata about supported languages without modifying, executing, or deleting anything. This is a read-only informational query. Confidence is moderate (0.7) rather than high because the description is empty, preventing confirmation of exact behavior; however, the verb 'describe' and noun 'languages' strongly indicate a safe Read operation with minimal blast radius if misused.

From the tool's definition Tool name 'describe_supported_languages' indicates a query/retrieval operation that lists or describes available languages. No description provided to confirm scope.

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

POLICY

How to control describe_supported_languages

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

policy.json

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

describe_supported_languages 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 Data Processing 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.

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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.
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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 describe_supported_languages

What does the describe_supported_languages tool do? +

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

How do I enforce a policy on describe_supported_languages? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for describe_supported_languages: 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 Data Processing MCP Server. Nothing to install.

What risk level is describe_supported_languages? +

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

Can I rate-limit describe_supported_languages? +

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

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

describe_supported_languages is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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