return a runtime cluster by id
AI agents call jfrog_get_runtime_specific_cluster 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 cluster information by identifier. The 'get' verb and 'return' language clearly indicate a read-only operation that queries existing data without creating, modifying, or deleting resources. Misuse would expose cluster configuration details but cannot directly harm systems or trigger operations.
From the tool's definition Tool name contains 'get' and description states 'return a runtime cluster by id', indicating data retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access jfrog_get_runtime_specific_cluster 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_runtime_specific_cluster:
{
"version": "1",
"default": "deny",
"tools": {
"jfrog_get_runtime_specific_cluster": {}
}
} jfrog_get_runtime_specific_cluster 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 runtime cluster by id. 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_runtime_specific_cluster: 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_runtime_specific_cluster 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_runtime_specific_cluster 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_runtime_specific_cluster. 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_runtime_specific_cluster 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.
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36 JFrog MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.