AssumeRoleWithIdentityContext

THE RISK

High Risk

Why AssumeRoleWithIdentityContext needs a policy

AssumeRoleWithIdentityContext likely calls AWS STS to assume an IAM role with additional identity context, which triggers an external AWS API operation that grants temporary credentials and elevated access. This is an Execute-level action with high blast radius since misuse could grant an AI agent unintended IAM permissions. Confidence is reduced due to the empty description.

From the tool's definition Tool name: AssumeRoleWithIdentityContext — description is empty and uninformative

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

POLICY

How to control AssumeRoleWithIdentityContext

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "AssumeRoleWithIdentityContext": {
      "limits": [
        {
          "counter": "assumerolewithidentitycontext_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

AssumeRoleWithIdentityContext stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon SageMaker AI MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon SageMaker AI MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about AssumeRoleWithIdentityContext

What does the AssumeRoleWithIdentityContext tool do? +

AssumeRoleWithIdentityContext. It is categorised as a Execute tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on AssumeRoleWithIdentityContext? +

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

AssumeRoleWithIdentityContext is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit AssumeRoleWithIdentityContext? +

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

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

AssumeRoleWithIdentityContext 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.

Enforce policy on every Amazon SageMaker AI MCP Server tool call.

Start from Amazon SageMaker AI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →