AssumeRoleWithIdentityContext

THE RISK

Low Risk

Why AssumeRoleWithIdentityContext needs a policy

The tool name suggests it assumes an IAM role with identity context, which is an authentication/authorization operation rather than a clean fit for Read/Write/Execute/Destructive/Financial. However, assuming roles can have significant security implications (privilege escalation). With an empty description, confidence is low.

From the tool's definition Tool name: AssumeRoleWithIdentityContext. Description is empty.

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 AWS S3 Tables 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": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

AssumeRoleWithIdentityContext gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register AWS S3 Tables 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.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about AssumeRoleWithIdentityContext

What does the AssumeRoleWithIdentityContext tool do? +

AssumeRoleWithIdentityContext. It is categorised as a Other tool in the AWS S3 Tables MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on AssumeRoleWithIdentityContext? +

Register the AWS S3 Tables 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 AWS S3 Tables MCP Server. Nothing to install.

What risk level is AssumeRoleWithIdentityContext? +

AssumeRoleWithIdentityContext is a Other tool with low risk. Read-only tools are generally safe to allow by default.

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 AWS S3 Tables MCP Server MCP server (awslabs.s3-tables-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 AWS S3 Tables MCP Server tool call.

Start from AWS S3 Tables 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 →