assess_risk
Assess risk tier for a given action. Returns tier (low/medium/high), reversibility, external impact, and recommendation (auto_approve/log_and_proceed/require_confirmation). Use before executing any non-trivial action.
This record as markdown: /tools/io-github-homenshum-nodebench/assess-risk.md
What assess_risk does on Nodebench
AI agents call assess_risk 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 assess_risk is rated Low
This is an analytical tool that evaluates risk and provides guidance without executing actions or modifying data. It reads/queries risk information and returns assessment results. The description explicitly positions it as something to use 'before executing' actions, reinforcing that it is a precursor decision aid, not an action executor.
From the tool's definition Tool description states it 'Assess[es] risk tier for a given action' and 'Returns tier (low/medium/high), reversibility, external impact, and recommendation'.
Attacks that exploit this kind of access
The rule that runs assess_risk 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 assess_risk, this is the rule to start with:
assess_risk 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 assess_risk call is checked against it from then on.
Questions about assess_risk
Assess risk tier for a given action. Returns tier (low/medium/high), reversibility, external impact, and recommendation (auto_approve/log_and_proceed/require_confirmation). Use before executing any non-trivial action. 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 assess_risk: 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.
assess_risk 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 assess_risk 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 assess_risk. 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.
assess_risk 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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