Low Risk

list-fabric-dataflows

List all Dataflow Gen2 in Microsoft Fabric workspace

How to control list-fabric-dataflows ↓

AI agents call list-fabric-dataflows to retrieve information from Fabric-Analytics-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool performs a read-only query operation to enumerate dataflows in a workspace. It retrieves data without side effects, creating no risk of data modification, deletion, or unauthorized execution. The blast radius of misuse is minimal—an agent could only discover what dataflows exist, not alter them or execute operations.

From the tool's definition Tool name 'list-fabric-dataflows' and description 'List all Dataflow Gen2 in Microsoft Fabric workspace' indicate a retrieval operation that queries existing dataflows without modification or execution.

Documented attack patterns abuse exactly the kind of access list-fabric-dataflows gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Fabric-Analytics-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list-fabric-dataflows:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list-fabric-dataflows": {}
  }
}

list-fabric-dataflows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Fabric-Analytics-MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the list-fabric-dataflows tool do? +

List all Dataflow Gen2 in Microsoft Fabric workspace. It is categorised as a Read tool in the Fabric-Analytics-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list-fabric-dataflows? +

Register the Fabric-Analytics- MCP server in PolicyLayer and add a rule for list-fabric-dataflows: 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 Fabric-Analytics-MCP. Nothing to install.

What risk level is list-fabric-dataflows? +

list-fabric-dataflows is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list-fabric-dataflows? +

Yes. Add a rate_limit block to the list-fabric-dataflows 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 list-fabric-dataflows completely? +

Set action: deny in the PolicyLayer policy for list-fabric-dataflows. 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 list-fabric-dataflows? +

list-fabric-dataflows is provided by the Fabric-Analytics- MCP server (santhoshravindran7/fabric-analytics-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Fabric-Analytics-MCP tool call.

Deterministic rules across all 83 Fabric-Analytics-MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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83 Fabric-Analytics-MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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