Medium Risk

identity_put_resource_policy

identity_put_resource_policy

How to control identity_put_resource_policy ↓

What identity_put_resource_policy does on Amazon Data Processing MCP Server

AI agents use identity_put_resource_policy 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 identity_put_resource_policy needs a policy

This tool modifies IAM resource policies, which control access to AWS resources. While not destructive (policies can be updated), it is a write operation with significant blast radius because misconfigured policies can grant unintended access. The empty description lowers confidence slightly, but the semantic meaning of 'put_resource_policy' is clear enough to classify as Write rather than Execute or Other.

From the tool's definition Tool name 'identity_put_resource_policy' indicates it writes/puts an IAM resource policy, which creates or modifies access control policies. The 'put' operation is a write action that modifies security-critical IAM configurations.

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

How to control identity_put_resource_policy

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 identity_put_resource_policy:

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

identity_put_resource_policy 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.
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Related tools and policies

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Questions about identity_put_resource_policy

What does the identity_put_resource_policy tool do? +

identity_put_resource_policy. 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 identity_put_resource_policy? +

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

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

Can I rate-limit identity_put_resource_policy? +

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

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

identity_put_resource_policy 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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