Low Risk

describe_create_case_options

describe_create_case_options

How to control describe_create_case_options ↓

What describe_create_case_options does on Amazon Data Processing MCP Server

AI agents call describe_create_case_options 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_create_case_options needs a policy

The tool name indicates it performs a descriptive query to enumerate case creation options rather than creating, modifying, or destructively altering data. However, confidence is moderate (0.60) because the description is empty, leaving some ambiguity about actual behavior. In the absence of contradictory evidence, the read-like semantics of 'describe' and 'options' suggest a low-severity informational query.

From the tool's definition Tool name 'describe_create_case_options' suggests retrieving or listing available options/metadata for case creation. The verb 'describe' is typically associated with read operations that query configuration or available choices without modifying state.

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

How to control describe_create_case_options

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_create_case_options:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "describe_create_case_options": {}
  }
}

describe_create_case_options 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.
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Related tools and policies

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Questions about describe_create_case_options

What does the describe_create_case_options tool do? +

describe_create_case_options. 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_create_case_options? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for describe_create_case_options: 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_create_case_options? +

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

Can I rate-limit describe_create_case_options? +

Yes. Add a rate_limit block to the describe_create_case_options 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_create_case_options completely? +

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

describe_create_case_options 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.

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

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