Low Risk

describe-log-streams

describe-log-streams

How to control describe-log-streams ↓

What describe-log-streams does on Amazon Data Processing MCP Server

AI agents call describe-log-streams 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.

Low Risk

Why describe-log-streams needs a policy

The verb 'describe' is a standard AWS API pattern for retrieving resource metadata. Log streams are configuration/monitoring resources, and describing them has no side effects—it only retrieves information. No code execution, data modification, deletion, or financial impact occurs. Confidence is slightly reduced because the description is empty, but the tool name is clear and unambiguous.

From the tool's definition Tool name 'describe-log-streams' indicates a query/retrieval operation; CloudWatch log stream description is a read-only introspection action that returns metadata about logs without modification or execution.

Documented attack patterns abuse exactly the kind of access describe-log-streams gives an agent:

How to control describe-log-streams

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-log-streams:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "describe-log-streams": {}
  }
}

describe-log-streams is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Data Processing MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about describe-log-streams

What does the describe-log-streams tool do? +

describe-log-streams. 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-log-streams? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for describe-log-streams: 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-log-streams? +

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

Can I rate-limit describe-log-streams? +

Yes. Add a rate_limit block to the describe-log-streams 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-log-streams completely? +

Set action: deny in the PolicyLayer policy for describe-log-streams. 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-log-streams? +

describe-log-streams 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.

Enforce policy on every Amazon Data Processing MCP Server tool call.

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

Free to start. No card required.

805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.