score_scenario_branch

Score a specific scenario branch against evidence and constraints.

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/score-scenario-branch.md

WHAT IT DOES

What score_scenario_branch does on Nodebench

AI agents call score_scenario_branch 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.

RISK

Why score_scenario_branch is rated Low

The tool evaluates/scores a scenario branch by comparing it against evidence and constraints. This is an analytical/read operation that produces a score or assessment without modifying data or executing external operations. No side effects are indicated in the description.

From the tool's definition Score a specific scenario branch against evidence and constraints

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs score_scenario_branch 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 score_scenario_branch, this is the rule to start with:

score_scenario_branch Allowed

score_scenario_branch is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "score_scenario_branch": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every score_scenario_branch call is checked against it from then on.

FAQ

Questions about score_scenario_branch

What does the score_scenario_branch tool do? +

Score a specific scenario branch against evidence and constraints. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on score_scenario_branch? +

Register the Nodebench MCP server in PolicyLayer and add a rule for score_scenario_branch: 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.

What risk level is score_scenario_branch? +

score_scenario_branch is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit score_scenario_branch? +

Yes. Add a rate_limit block to the score_scenario_branch 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.

How do I block score_scenario_branch completely? +

Set action: deny in the PolicyLayer policy for score_scenario_branch. 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.

What MCP server provides score_scenario_branch? +

score_scenario_branch 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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