Update an existing job
AI agents use jenkins_update_job_config to create or update resources in Mcp Jenkins — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Jenkins environment.
This tool modifies existing Jenkins job configurations reversibly—a change can be undone by updating again. While the blast radius is high (a malicious job config could compromise CI/CD pipelines, inject malicious build steps, or exfiltrate secrets), it does not irreversibly delete data (Destructive) nor move money (Financial) nor directly execute arbitrary code (Execute category is for tools that run code based on…
From the tool's definition Tool name 'jenkins_update_job_config' and description 'Update an existing job' indicate modification of job configuration data. Jenkins job configs control build parameters, triggers, scripts, and deployment behavior.
Attacks that exploit this kind of access
Update an existing job. It is categorised as a Write tool in the Mcp Jenkins MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Jenkins MCP server in PolicyLayer and add a rule for jenkins_update_job_config: 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 Mcp Jenkins. Nothing to install.
jenkins_update_job_config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the jenkins_update_job_config 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 jenkins_update_job_config. 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.
jenkins_update_job_config is provided by the Mcp Jenkins MCP server (@kud/mcp-jenkins). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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