trigger_release_build
AI agents invoke trigger_release_build to trigger actions in Netlinq Jenkins. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers Jenkins release pipelines, which execute automated build and deployment workflows. This is an Execute action because it runs external operations (CI/CD pipeline execution) whose effects depend on what code is in the repository and pipeline configuration.
From the tool's definition Tool name 'trigger_release_build' combined with server context that 'Enables triggering Jenkins release and patch pipelines' indicates execution of CI/CD workflows. Sibling tools like 'patch_repository' confirm write/execute capabilities.
Attacks that exploit this kind of access
trigger_release_build. It is categorised as a Execute tool in the Netlinq Jenkins MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Netlinq Jenkins MCP server in PolicyLayer and add a rule for trigger_release_build: 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 Netlinq Jenkins. Nothing to install.
trigger_release_build is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the trigger_release_build 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 trigger_release_build. 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.
trigger_release_build is provided by the Netlinq Jenkins MCP server (radhakrishna0018/netlinq-jenkins-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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