AssumeRoleWithIdentityContext
AI agents invoke AssumeRoleWithIdentityContext to trigger actions in AWS Labs Aurora DSQL 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.
AssumeRole-style operations typically trigger AWS STS to assume an IAM role with a given identity context, which is an external operation that grants temporary credentials and can escalate privileges. This falls under Execute (triggering external operations with side effects). High severity due to potential privilege escalation risk. Confidence is low due to 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:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Aurora DSQL 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 Aurora DSQL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs Aurora DSQL 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 Aurora DSQL 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 Aurora DSQL MCP Server MCP server (awslabs.aurora-dsql-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 Aurora DSQL MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 AWS Labs Aurora DSQL MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.