rebuild_kedro_knowledge · Kedro RAG MCP: Risk & Policy

WHAT IT DOES

What rebuild_kedro_knowledge does on Kedro RAG MCP

AI agents invoke rebuild_kedro_knowledge to trigger actions in Kedro RAG MCP. 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 IT NEEDS A POLICY

Why rebuild_kedro_knowledge needs a policy

This tool triggers a rebuild operation that processes documentation files and reconstructs the local knowledge base. It is not a simple read; it executes a potentially long-running operation that overwrites the existing knowledge base.

From the tool's definition Force rebuild the knowledge base from scratch

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rebuild_kedro_knowledge Rate-limited

rebuild_kedro_knowledge 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": {
    "rebuild_kedro_knowledge": {
      "limits": [
        {
          "counter": "rebuild_kedro_knowledge_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about rebuild_kedro_knowledge

What does the rebuild_kedro_knowledge tool do? +

Force rebuild the knowledge base from scratch. It is categorised as a Execute tool in the Kedro RAG MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rebuild_kedro_knowledge? +

Register the Kedro RAG MCP server in PolicyLayer and add a rule for rebuild_kedro_knowledge: 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 Kedro RAG MCP. Nothing to install.

What risk level is rebuild_kedro_knowledge? +

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

Can I rate-limit rebuild_kedro_knowledge? +

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

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

rebuild_kedro_knowledge is provided by the Kedro RAG MCP server (sajidalamqb/kedro-mcp-rag). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.