Low Risk

jfrog_list_builds

return a list of all my build in the jfrog platform

How to control jfrog_list_builds ↓

What jfrog_list_builds does on JFrog MCP Server

AI agents call jfrog_list_builds 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.

Low Risk

Why jfrog_list_builds needs a policy

This tool queries and retrieves build information from JFrog without side effects. It matches the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch).' The blast radius of misuse is minimal, as the tool only exposes existing build metadata without the ability to modify, execute, or delete resources.

From the tool's definition Tool name is 'jfrog_list_builds' and description states it will 'return a list of all my build in the jfrog platform' — a purely informational retrieval operation with no modification, deletion, or execution of external commands.

Documented attack patterns abuse exactly the kind of access jfrog_list_builds gives an agent:

How to control jfrog_list_builds

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_builds:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "jfrog_list_builds": {}
  }
}

jfrog_list_builds is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register JFrog MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about jfrog_list_builds

What does the jfrog_list_builds tool do? +

return a list of all my build 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.

How do I enforce a policy on jfrog_list_builds? +

Register the JFrog MCP Server MCP server in PolicyLayer and add a rule for jfrog_list_builds: 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.

What risk level is jfrog_list_builds? +

jfrog_list_builds is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit jfrog_list_builds? +

Yes. Add a rate_limit block to the jfrog_list_builds 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.

How do I block jfrog_list_builds completely? +

Set action: deny in the PolicyLayer policy for jfrog_list_builds. 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.

What MCP server provides jfrog_list_builds? +

jfrog_list_builds 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.

Enforce policy on every JFrog MCP Server tool call.

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.

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