get_job_info

Get Jenkins job info

Server MCP Jenkins Server winjayx/014.jenkinsmcp
Category Read
Risk class Low
Parameters 00 required

What get_job_info does on MCP Jenkins Server

AI agents call get_job_info to retrieve information from MCP Jenkins Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_job_info needs a policy

This tool retrieves and queries Jenkins job information with no side effects. It falls squarely into the Read category. Severity is medium rather than low because Jenkins job configurations can contain sensitive information (credentials, API tokens, internal system details, deployment secrets) that could be exposed to unauthorized parties or used for reconnaissance.

From the tool's definition Tool name 'get_job_info' and description 'Get Jenkins job info' indicate retrieval of job metadata/configuration information without modification.

Questions about get_job_info

What does the get_job_info tool do? +

Get Jenkins job info. It is categorised as a Read tool in the MCP Jenkins Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_info? +

Register the MCP Jenkins Server MCP server in PolicyLayer and add a rule for get_job_info: 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 Server. Nothing to install.

What risk level is get_job_info? +

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

Can I rate-limit get_job_info? +

Yes. Add a rate_limit block to the get_job_info 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 get_job_info completely? +

Set action: deny in the PolicyLayer policy for get_job_info. 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 get_job_info? +

get_job_info is provided by the MCP Jenkins Server MCP server (winjayx/014.jenkinsmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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