readiness_scan
Run a founder readiness scan against the progression and diligence model.
This record as markdown: /tools/io-github-homenshum-nodebench/readiness-scan.md
What readiness_scan does on Nodebench
AI agents invoke readiness_scan 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 readiness_scan is rated High
The word 'Run' indicates execution of a process/scan rather than a simple read. It triggers an analysis operation (a scan) against a model, which constitutes executing an external operation. The description is somewhat vague but implies computation/evaluation rather than merely retrieving existing data. Medium severity as it appears to be an analytical operation without obvious destructive or financial effects.
From the tool's definition 'Run a founder readiness scan against the progression and diligence model'
Attacks that exploit this kind of access
The rule that runs readiness_scan 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 readiness_scan, this is the rule to start with:
readiness_scan 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 readiness_scan call is checked against it from then on.
Questions about readiness_scan
Run a founder readiness scan against the progression and diligence model. 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 readiness_scan: 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.
readiness_scan 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 readiness_scan 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 readiness_scan. 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.
readiness_scan 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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