return a list of all my runtime clusters in the jfrog platform
AI agents call jfrog_list_runtime_clusters 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 enumerates runtime cluster metadata from the JFrog platform without creating, modifying, or deleting any resources. It is purely informational. Severity is low because exposure of cluster inventory could enable reconnaissance, but does not directly grant access to sensitive data or enable destructive actions.
From the tool's definition Tool name uses 'list' verb and description states 'return a list of all my runtime clusters' — a query operation with no side effects.
Documented attack patterns abuse exactly the kind of access jfrog_list_runtime_clusters 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_list_runtime_clusters:
{
"version": "1",
"default": "deny",
"tools": {
"jfrog_list_runtime_clusters": {}
}
} jfrog_list_runtime_clusters is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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return a list of all my runtime clusters in the jfrog platform. 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_list_runtime_clusters: 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_list_runtime_clusters 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_list_runtime_clusters 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_list_runtime_clusters. 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_list_runtime_clusters 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.