AssumeRoleWithIdentityContext
AI agents invoke AssumeRoleWithIdentityContext to trigger actions in AWS Labs Amazon Q Business anonymous mode MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
AssumeRoleWithIdentityContext strongly suggests an AWS STS-like operation that assumes an IAM role with additional identity context, triggering an external AWS API call to obtain temporary credentials. This is an Execute-category action because it triggers an external operation (credential issuance) with effects depending on the role/context arguments.
From the tool's definition Tool name 'AssumeRoleWithIdentityContext' — no description provided
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 AWS Labs Amazon Q Business anonymous mode 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": 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.
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AssumeRoleWithIdentityContext. It is categorised as a Execute tool in the AWS Labs Amazon Q Business anonymous mode MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs Amazon Q Business anonymous mode 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 Labs Amazon Q Business anonymous mode MCP Server. Nothing to install.
AssumeRoleWithIdentityContext is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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 AWS Labs Amazon Q Business anonymous mode MCP Server MCP server (awslabs.amazon-qbusiness-anonymous-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs Amazon Q Business anonymous mode 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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805 AWS Labs Amazon Q Business anonymous mode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.