identity_put_resource_policy

WHAT IT DOES

What identity_put_resource_policy does on Amazon SageMaker AI MCP Server

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

WHY IT NEEDS A POLICY

Why identity_put_resource_policy needs a policy

This tool modifies IAM resource policies, which controls access permissions to AWS resources. While it creates or modifies (Write) rather than deletes, the blast radius is high because misconfigured policies could grant unintended access to resources or lock legitimate users out. Severity is high rather than critical because it is reversible and does not directly move money or delete data.

From the tool's definition Tool name 'identity_put_resource_policy' indicates creation or modification of an IAM resource policy. The 'put' verb suggests writing/upserting a policy document. No description provided to clarify exact behavior.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

identity_put_resource_policy Rate-limited

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.

View as policy code

policy.json

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

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

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 SageMaker AI 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 SageMaker AI 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 SageMaker AI 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 SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.