Get details of a specific resource type within a permission target
AI agents call jfrog_get_permission_resource to retrieve information from JFrog MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries permission resource details without creating, modifying, or deleting data. It is fundamentally a Read operation. Severity is elevated from 'low' to 'medium' because permission/access control data is sensitive; exposure of these details could inform a subsequent attack even though the tool itself performs no destructive action.
From the tool's definition Tool name contains 'get' and description states 'Get details' — retrieves permission resource information without modification. However, permission data can be sensitive and may expose access control configurations.
Documented attack patterns abuse exactly the kind of access jfrog_get_permission_resource gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and JFrog MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for jfrog_get_permission_resource:
{
"version": "1",
"default": "deny",
"tools": {
"jfrog_get_permission_resource": {}
}
} jfrog_get_permission_resource is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific resource type within a permission target. It is categorised as a Read tool in the JFrog MCP Server MCP Server, which means it retrieves data without modifying state.
Register the JFrog MCP Server MCP server in PolicyLayer and add a rule for jfrog_get_permission_resource: 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 JFrog MCP Server. Nothing to install.
jfrog_get_permission_resource 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 jfrog_get_permission_resource 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 jfrog_get_permission_resource. 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.
jfrog_get_permission_resource is provided by the JFrog MCP Server MCP server (jfrog/mcp-jfrog). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from JFrog 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.
36 JFrog MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.