ragflow_build_graph_tool · RAGFlow MCP Server MCP

WHAT IT DOES

What ragflow_build_graph_tool does on RAGFlow MCP Server

AI agents invoke ragflow_build_graph_tool to trigger actions in RAGFlow MCP Server. 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 ragflow_build_graph_tool needs a policy

Graph building operations typically involve computational processes that execute algorithms to transform or generate data structures. This qualifies as Execute rather than Write because it likely triggers complex transformations or external graph processing operations whose effects depend on arguments (input data, parameters).

From the tool's definition Tool name contains 'build_graph' suggesting it constructs or processes graph structures; sibling tools include '_build_raptor_tool' and references to 'GraphRAG' in server description indicate graph construction/processing capabilities.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ragflow_build_graph_tool Rate-limited

ragflow_build_graph_tool 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": {
    "ragflow_build_graph_tool": {
      "limits": [
        {
          "counter": "ragflow_build_graph_tool_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 RAGFlow MCP Server, so you can run agents against it safely.

FAQ

Questions about ragflow_build_graph_tool

What does the ragflow_build_graph_tool tool do? +

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

How do I enforce a policy on ragflow_build_graph_tool? +

Register the RAGFlow MCP Server MCP server in PolicyLayer and add a rule for ragflow_build_graph_tool: 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 RAGFlow MCP Server. Nothing to install.

What risk level is ragflow_build_graph_tool? +

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

Can I rate-limit ragflow_build_graph_tool? +

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

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

ragflow_build_graph_tool is provided by the RAGFlow MCP Server MCP server (migoxv/ragflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.