Get current status of a Jenkins job
AI agents call get_job_status to retrieve information from Jenkins without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves job status data with no side effects. It falls squarely into the Read category as it only fetches information about an existing job's state. The severity is low because retrieving job status carries minimal risk—it cannot trigger builds, delete data, or cause financial impact. The confidence is high because the description explicitly uses 'Get' language typical of read-only operations.
From the tool's definition Tool name 'get_job_status' and description 'Get current status of a Jenkins job' indicate a query operation that retrieves job status information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get_job_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jenkins, and nothing reaches the server without passing your rules. This is the rule we recommend for get_job_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_job_status": {}
}
}get_job_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get current status of a Jenkins job. It is categorised as a Read tool in the Jenkins MCP Server, which means it retrieves data without modifying state.
Register the Jenkins MCP server in PolicyLayer and add a rule for get_job_status: 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 Jenkins. Nothing to install.
get_job_status 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 get_job_status 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 get_job_status. 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.
get_job_status is provided by the Jenkins MCP server (truxt-ai/jenkins-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jenkins, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 Jenkins tools catalogued and risk-classified — across an index of 43,000+ MCP servers.