rate_result · Ariadne MCP: Risk & Policy

WHAT IT DOES

What rate_result does on Ariadne

AI agents use rate_result to create or update resources in Ariadne — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ariadne environment.

WHY IT NEEDS A POLICY

Why rate_result needs a policy

This tool writes feedback/rating data to the system. It creates a new record (a rating or usefulness signal) but does not delete anything, execute code, or involve financial transactions. The blast radius of misuse is low — at worst, incorrect feedback is recorded, which could skew recommendation quality but is easily correctable.

From the tool's definition "Record whether Ariadne results were useful" — records/writes feedback data about result usefulness

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rate_result Rate-limited

rate_result stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rate_result": {
      "limits": [
        {
          "counter": "rate_result_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Ariadne, so you can run agents against it safely.

FAQ

Questions about rate_result

What does the rate_result tool do? +

Record whether Ariadne results were useful. Call this after using. It is categorised as a Write tool in the Ariadne MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on rate_result? +

Register the Ariadne MCP server in PolicyLayer and add a rule for rate_result: 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 Ariadne. Nothing to install.

What risk level is rate_result? +

rate_result is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit rate_result? +

Yes. Add a rate_limit block to the rate_result 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 rate_result completely? +

Set action: deny in the PolicyLayer policy for rate_result. 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 rate_result? +

rate_result is provided by the Ariadne MCP server (whyy9527/ariadne). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.