run_signal_sweep

SERVERNodebench SOURCEnodebench-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/run-signal-sweep.md

WHAT IT DOES

What run_signal_sweep does on Nodebench

AI agents invoke run_signal_sweep 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.

RISK

Why run_signal_sweep is rated High

This tool actively initiates live queries against multiple external data sources and processes/ranks the results, making it an Execute-category tool rather than a simple Read. It orchestrates external operations across systems rather than passively fetching a single known endpoint.

From the tool's definition 'Run a live signal sweep across all data sources' — triggers active queries across multiple external systems (HackerNews, GitHub Trending, Yahoo Finance, ProductHunt) and returns processed, ranked results

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_signal_sweep 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 run_signal_sweep, this is the rule to start with:

run_signal_sweep Rate-limited

run_signal_sweep 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_signal_sweep": {
      "limits": [
        {
          "counter": "run_signal_sweep_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every run_signal_sweep call is checked against it from then on.

FAQ

Questions about run_signal_sweep

What does the run_signal_sweep tool do? +

Run a live signal sweep across all data sources (HackerNews, GitHub Trending, Yahoo Finance, ProductHunt). Returns signals sorted by relevance with severity tiers (FLASH/PRIORITY/ROUTINE). Use this to find what. 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.

How do I enforce a policy on run_signal_sweep? +

Register the Nodebench MCP server in PolicyLayer and add a rule for run_signal_sweep: 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.

What risk level is run_signal_sweep? +

run_signal_sweep is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_signal_sweep? +

Yes. Add a rate_limit block to the run_signal_sweep 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.

How do I block run_signal_sweep completely? +

Set action: deny in the PolicyLayer policy for run_signal_sweep. 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.

What MCP server provides run_signal_sweep? +

run_signal_sweep 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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