judge_action

A execute tool on the Arifos MCP server.

SERVERArifos SOURCEarifos

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ariffazil-aaa-mcp/judge-action.md

WHAT IT DOES

What judge_action does on Arifos

AI agents invoke judge_action to trigger actions in Arifos. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why judge_action is rated High

The name 'judge_action' strongly suggests this tool evaluates and potentially triggers or enforces an action or decision, which falls under Execute. Given the server context of 'Constitutional AI Governance' with 'enforced floors' and 'tri-witness consensus', a judge action tool likely runs enforcement logic or triggers governance decisions. However, the empty description significantly lowers confidence.

From the tool's definition Tool name 'judge_action' implies executing a judgment or decision action; description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs judge_action safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Arifos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For judge_action, this is the rule to start with:

judge_action Rate-limited

judge_action stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "judge_action": {
      "limits": [
        {
          "counter": "judge_action_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about judge_action

What does the judge_action tool do? +

judge_action is a execute tool on the Arifos MCP server. It is categorised as a Execute tool in the Arifos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on judge_action? +

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

What risk level is judge_action? +

judge_action is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit judge_action? +

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

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

judge_action is provided by the Arifos MCP server (arifos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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