Medium Risk

create_datasource

create_datasource

How to control create_datasource ↓

What create_datasource does on Amazon EKS MCP Server

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

Medium Risk

Why create_datasource needs a policy

Creation operations are reversible (datasources can be deleted), placing this in Write rather than Execute or Destructive. Severity is medium because creating datasources in EKS could affect cluster observability or data pipeline configurations, but impact is typically scoped and recoverable.

From the tool's definition Tool name 'create_datasource' indicates creation of a new data source resource. Given the EKS context and typical AWS patterns, this would create a new datasource configuration. The empty description limits certainty.

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

How to control create_datasource

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

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

create_datasource 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 EKS 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

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Questions about create_datasource

What does the create_datasource tool do? +

create_datasource. It is categorised as a Write tool in the Amazon EKS 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_datasource? +

Register the Amazon EKS MCP Server MCP server in PolicyLayer and add a rule for create_datasource: 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 EKS MCP Server. Nothing to install.

What risk level is create_datasource? +

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

Can I rate-limit create_datasource? +

Yes. Add a rate_limit block to the create_datasource 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_datasource completely? +

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

create_datasource is provided by the Amazon EKS MCP Server MCP server (awslabs.eks-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 EKS MCP Server tool call.

Start from Amazon EKS 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 EKS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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