Get details of a specific job run including state (Scheduled, Building, Completed), result (Passed, Failed, Cancelled), agent information, and timestamps. Use this to check job status or get basic job information without downloading logs or artifacts.
AI agents call get_job_instance to retrieve information from GoCD MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only queries of job metadata from the GoCD pipeline system. It has no side effects—it does not execute builds, modify pipeline state, delete data, or trigger external operations. The explicit exclusion of log/artifact downloading and the focus on status checking confirm it is purely informational retrieval.
From the tool's definition Tool retrieves job status details (state, result, agent information, timestamps) without modifying data or triggering actions. Description explicitly states 'check job status or get basic job information without downloading logs or artifacts'.
Attacks that exploit this kind of access
Get details of a specific job run including state (Scheduled, Building, Completed), result (Passed, Failed, Cancelled), agent information, and timestamps. Use this to check job status or get basic job information without downloading logs or artifacts. It is categorised as a Read tool in the GoCD MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GoCD MCP Server MCP server in PolicyLayer and add a rule for get_job_instance: 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 GoCD MCP Server. Nothing to install.
get_job_instance 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_instance 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_instance. 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_instance is provided by the GoCD MCP Server MCP server (rushi/gocd-mcp). 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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