Download and read a specific artifact file from a job. Use this to retrieve specific files like test reports, coverage data, configuration files, or any other build artifact when you know the exact path. For test reports, consider using parse_junit_xml instead for structured output.
AI agents call get_job_artifact 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 retrieves and reads existing build artifacts without creating, modifying, deleting, or executing code. It is a straightforward read operation on immutable artifact data. The low severity reflects minimal blast radius—artifact access is informational only and does not affect pipeline state or enable harmful external operations.
From the tool's definition Tool description states 'Download and read a specific artifact file' and lists read-only use cases like 'test reports, coverage data, configuration files'.
Attacks that exploit this kind of access
Download and read a specific artifact file from a job. Use this to retrieve specific files like test reports, coverage data, configuration files, or any other build artifact when you know the exact path. For test reports, consider using parse_junit_xml instead for structured output. 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_artifact: 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_artifact 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_artifact 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_artifact. 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_artifact 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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