AssumeRoleWithIdentityContext
AI agents call AssumeRoleWithIdentityContext as a supporting operation in Amazon MQ MCP Server workflows.
The description is empty, making classification uncertain. The name suggests assuming an AWS IAM role (similar to STS AssumeRole), which is primarily an authentication/authorization operation that could enable privilege escalation. Without a description, it's unclear if this reads credentials, writes session state, or executes operations.
From the tool's definition Tool description is empty and uninformative; name 'AssumeRoleWithIdentityContext' suggests AWS IAM role assumption with identity context
Documented attack patterns abuse exactly the kind of access AssumeRoleWithIdentityContext gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon MQ MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for AssumeRoleWithIdentityContext:
{
"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.
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AssumeRoleWithIdentityContext. It is categorised as a Other tool in the Amazon MQ MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon MQ 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 MQ MCP Server. Nothing to install.
AssumeRoleWithIdentityContext is a Other tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
AssumeRoleWithIdentityContext is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon MQ MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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