identity_get_resource_policy
AI agents call identity_get_resource_policy to retrieve information from Amazon Data Processing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve or query an identity resource policy, which is a read operation with no indicated side effects. However, the empty description and potential sensitivity of identity/policy data (could inform privilege escalation attacks) warrant medium severity rather than low. Confidence is reduced due to lack of explicit description confirming the exact behavior.
From the tool's definition Tool name 'identity_get_resource_policy' indicates retrieval of resource policy data. The description is empty, limiting confidence, but the 'get_' prefix and 'policy' context suggest a read operation that queries security/policy configuration.
Documented attack patterns abuse exactly the kind of access identity_get_resource_policy gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for identity_get_resource_policy:
{
"version": "1",
"default": "deny",
"tools": {
"identity_get_resource_policy": {}
}
} identity_get_resource_policy is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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identity_get_resource_policy. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for identity_get_resource_policy: 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 Data Processing MCP Server. Nothing to install.
identity_get_resource_policy is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the identity_get_resource_policy 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 identity_get_resource_policy. 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.
identity_get_resource_policy is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Data Processing 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 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.