decision_quality_scan
Check whether the founder decision has clear criteria, falsifiers, and next actions.
This record as markdown: /tools/io-github-homenshum-nodebench/decision-quality-scan.md
What decision_quality_scan does on Nodebench
AI agents call decision_quality_scan 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 decision_quality_scan is rated Low
This tool performs a quality assessment or validation check on an existing founder decision. It reads and evaluates decision properties (criteria, falsifiers, next actions) but does not create, modify, delete, or execute external operations. The verb 'check' and the structure of assessing decision quality are characteristic of Read operations. No destructive, financial, or executable side effects are implied.
From the tool's definition Tool name 'decision_quality_scan' and description 'Check whether the founder decision has clear criteria, falsifiers, and next actions' indicate a diagnostic/audit operation that retrieves and analyzes decision attributes without modifying them.
Attacks that exploit this kind of access
The rule that runs decision_quality_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 decision_quality_scan, this is the rule to start with:
decision_quality_scan 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 decision_quality_scan call is checked against it from then on.
Questions about decision_quality_scan
Check whether the founder decision has clear criteria, falsifiers, and next actions. 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 decision_quality_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.
decision_quality_scan 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 decision_quality_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 decision_quality_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.
decision_quality_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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