get_flywheel_status
Get the current state of both loops (Verification inner loop and Eval outer loop) and how they connect. Shows active verification cycles, recent eval trends, and cross-loop connections.
This record as markdown: /tools/io-github-homenshum-nodebench/get-flywheel-status.md
What get_flywheel_status does on Nodebench
AI agents call get_flywheel_status to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_flywheel_status is rated Low
This tool retrieves and displays status information about verification and evaluation loops without modifying any state or triggering external actions. It is a pure information retrieval tool that queries the current system state, fitting the Read category.
From the tool's definition Tool description uses "Get the current state" and "Shows", which are read-only retrieval operations. No mention of modification, deletion, execution, or financial operations.
Attacks that exploit this kind of access
The rule that runs get_flywheel_status 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 get_flywheel_status, this is the rule to start with:
get_flywheel_status is read-only, so it stays allowed. 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 get_flywheel_status call is checked against it from then on.
Questions about get_flywheel_status
Get the current state of both loops (Verification inner loop and Eval outer loop) and how they connect. Shows active verification cycles, recent eval trends, and cross-loop connections. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for get_flywheel_status: 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.
get_flywheel_status 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_flywheel_status 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_flywheel_status. 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_flywheel_status 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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