Get a paginated list of Jenkins jobs
AI agents call getJobs to retrieve information from Jenkins 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 lists job metadata without creating, modifying, deleting, or executing any operations. It is purely informational, similar to other Read-category tools on the server like 'getJob', 'getStatus', and 'getQueueInfo'. The paginated list structure confirms it is a query operation.
From the tool's definition Tool name 'getJobs' and description 'Get a paginated list of Jenkins jobs' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a paginated list of Jenkins jobs. It is categorised as a Read tool in the Jenkins MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Jenkins MCP Server MCP server in PolicyLayer and add a rule for getJobs: 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 MCP Server. Nothing to install.
getJobs 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 getJobs 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 getJobs. 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.
getJobs is provided by the Jenkins MCP Server MCP server (umishra1504/jenkins-mcp-server). 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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