identity_update_workload_identity

WHAT IT DOES

What identity_update_workload_identity does on Amazon SageMaker AI MCP Server

AI agents use identity_update_workload_identity 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_update_workload_identity needs a policy

The tool name 'identity_update_workload_identity' clearly indicates it updates identity configurations. This is a Write operation as it modifies existing identity/workload settings rather than creating new ones or destroying them. Severity is high because misconfigured workload identity in AWS can grant unintended permissions to services, affecting security posture.

From the tool's definition Tool name contains 'update' indicating modification of workload identity configuration. No description provided to confirm exact scope.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

identity_update_workload_identity Rate-limited

identity_update_workload_identity 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_update_workload_identity": {
      "limits": [
        {
          "counter": "identity_update_workload_identity_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_update_workload_identity

What does the identity_update_workload_identity tool do? +

identity_update_workload_identity. 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_update_workload_identity? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for identity_update_workload_identity: 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_update_workload_identity? +

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

Can I rate-limit identity_update_workload_identity? +

Yes. Add a rate_limit block to the identity_update_workload_identity 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_update_workload_identity completely? +

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

identity_update_workload_identity 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.