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arif_cc_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/arif-cc-judge-action.md

What arif_cc_judge_action does on Arifos

AI agents invoke arif_cc_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.

Why arif_cc_judge_action is rated High

The name 'judge_action' implies execution of a judgment or decision-making process that could trigger downstream enforcement actions within the AI governance system. Given the server's context of 'Constitutional AI Governance' with 'enforced floors' and 'tri-witness consensus', this tool likely executes policy enforcement or approval/rejection decisions. The description is empty, which lowers confidence.

From the tool's definition Tool name contains 'judge_action' suggesting it evaluates or adjudicates actions, possibly triggering enforcement logic within the Constitutional AI Governance framework with 13 enforced floors and tri-witness consensus

Questions about arif_cc_judge_action

What does the arif_cc_judge_action tool do? +

arif_cc_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 arif_cc_judge_action? +

Register the Arifos MCP server in PolicyLayer and add a rule for arif_cc_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 arif_cc_judge_action? +

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

Can I rate-limit arif_cc_judge_action? +

Yes. Add a rate_limit block to the arif_cc_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 arif_cc_judge_action completely? +

Set action: deny in the PolicyLayer policy for arif_cc_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 arif_cc_judge_action? +

arif_cc_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.

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