render_decision_memo
Render a 1-page executive decision memo from a completed Deep Sim analysis. Combines claim graph, variables, scenarios, interventions, and compounding score into a structured memo with counter-models, forecast check date, and whatWouldChangeMyMind. Optionally attach source URLs for provenance tra...
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What render_decision_memo does on Nodebench
AI agents call render_decision_memo 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 render_decision_memo is rated Low
The tool renders/generates a formatted document from existing analysis data. It reads and combines previously computed data (claim graph, variables, scenarios, interventions, compounding score) into a structured memo. There is no indication it modifies external state, executes code, deletes data, or moves money. It is essentially a read/format/render operation.
From the tool's definition Render a 1-page executive decision memo from a completed Deep Sim analysis... Combines claim graph, variables, scenarios, interventions, and compounding score into a structured memo
Attacks that exploit this kind of access
The rule that runs render_decision_memo 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 render_decision_memo, this is the rule to start with:
render_decision_memo 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 render_decision_memo call is checked against it from then on.
Questions about render_decision_memo
Render a 1-page executive decision memo from a completed Deep Sim analysis. Combines claim graph, variables, scenarios, interventions, and compounding score into a structured memo with counter-models, forecast check date, and whatWouldChangeMyMind. Optionally attach source URLs for provenance tracking on claims. 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 render_decision_memo: 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.
render_decision_memo 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 render_decision_memo 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 render_decision_memo. 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.
render_decision_memo 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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