Last N lines of console output for a build (debug failures).
AI agents call tail_build_log to retrieve information from Netlinq Jenkins without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves read-only log/console output from a build. It has no side effects — it simply fetches the last N lines of output for diagnostic purposes. No data is modified, executed, or deleted.
From the tool's definition Last N lines of console output for a build (debug failures)
Attacks that exploit this kind of access
Last N lines of console output for a build (debug failures). It is categorised as a Read tool in the Netlinq Jenkins MCP Server, which means it retrieves data without modifying state.
Register the Netlinq Jenkins MCP server in PolicyLayer and add a rule for tail_build_log: 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.
tail_build_log 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 tail_build_log 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 tail_build_log. 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.
tail_build_log 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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