kewajiban_pengendali
AI agents call kewajiban_pengendali to retrieve information from PDP MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The server is a RAG-powered knowledge retrieval system for Indonesia's Personal Data Protection Law (UU PDP). The tool name suggests it queries or retrieves information about data controller obligations from the legal document. No side effects expected—purely informational retrieval.
From the tool's definition Tool name 'kewajiban_pengendali' (obligations of data controller) is a legal lookup function on a RAG-based Q&A server.
Attacks that exploit this kind of access
kewajiban_pengendali. It is categorised as a Read tool in the PDP MCP Server MCP Server, which means it retrieves data without modifying state.
Register the PDP MCP Server MCP server in PolicyLayer and add a rule for kewajiban_pengendali: 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 PDP MCP Server. Nothing to install.
kewajiban_pengendali 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 kewajiban_pengendali 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 kewajiban_pengendali. 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.
kewajiban_pengendali is provided by the PDP MCP Server MCP server (vibecoding4-jc/pdp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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