Medium Risk

create_schema

create_schema

How to control create_schema ↓

What create_schema does on Amazon Data Processing MCP Server

AI agents use create_schema to create or update resources in Amazon Data Processing MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Data Processing MCP Server environment.

Medium Risk

Why create_schema needs a policy

The tool name 'create_schema' suggests it creates or defines a schema, which is a data structure modification operation. This is reversible (schemas can be modified or deleted), placing it in the Write category rather than Destructive. Severity is medium because schema creation in a data processing context could affect data organization and downstream operations, but the empty description reduces confidence.

From the tool's definition Tool name 'create_schema' indicates creation of a data schema structure. Description is empty, limiting specificity.

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

How to control create_schema

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 create_schema:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_schema": {
      "limits": [
        {
          "counter": "create_schema_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_schema stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about create_schema

What does the create_schema tool do? +

create_schema. It is categorised as a Write tool in the Amazon Data Processing MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_schema? +

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

create_schema is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_schema? +

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

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

create_schema 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.

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