Deterministic weighted multi-criteria decision analysis (MCDM). Takes options with numeric values per criterion, normalizes using min-max scaling, applies directional weights, and returns ranked results. No LLM involved — purely mathematical. Use for travel booking optimization, investment compar...
Part of the Nodebench server.
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AI agents call multi_criteria_score to retrieve information from Nodebench without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though multi_criteria_score only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"multi_criteria_score": {}
}
}See the full Nodebench policy for all 724 tools.
These attack patterns abuse exactly the kind of access multi_criteria_score gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Deterministic weighted multi-criteria decision analysis (MCDM). Takes options with numeric values per criterion, normalizes using min-max scaling, applies directional weights, and returns ranked results. No LLM involved — purely mathematical. Use for travel booking optimization, investment comparison, vendor selection, or any multi-attribute decision. Supports custom classification thresholds (e.g., points-per-cent valuation tiers).. 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 multi_criteria_score: 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.
multi_criteria_score 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 multi_criteria_score 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 multi_criteria_score. 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.
multi_criteria_score 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.
Deterministic rules across all 724 Nodebench tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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