runNewsroomPipeline
Trigger the full DRANE newsroom pipeline (Scout > Historian > Analyst > Publisher) for a given topic or entity. Returns the generated narrative analysis.
This record as markdown: /tools/io-github-homenshum-nodebench/runnewsroompipeline.md
What runNewsroomPipeline does on Nodebench
AI agents invoke runNewsroomPipeline to trigger actions in Nodebench. 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.
Why runNewsroomPipeline is rated High
This tool executes an external operation (a newsroom pipeline) whose outcome and side effects are argument-dependent. While it generates and returns narrative analysis (data), the primary action is triggering a complex workflow that processes, analyzes, and potentially publishes content.
From the tool's definition Tool name uses 'run' verb and description states 'Trigger the full DRANE newsroom pipeline' — explicitly triggering a complex multi-stage operation (Scout > Historian > Analyst > Publisher) whose effects depend on the topic/entity argument provided.
Attacks that exploit this kind of access
The rule that runs runNewsroomPipeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For runNewsroomPipeline, this is the rule to start with:
runNewsroomPipeline stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every runNewsroomPipeline call is checked against it from then on.
Questions about runNewsroomPipeline
Trigger the full DRANE newsroom pipeline (Scout > Historian > Analyst > Publisher) for a given topic or entity. Returns the generated narrative analysis. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for runNewsroomPipeline: 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 Nodebench. Nothing to install.
runNewsroomPipeline 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 runNewsroomPipeline 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 runNewsroomPipeline. 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.
runNewsroomPipeline is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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