Low Risk

semantic_model_list

List all semantic models in a Fabric workspace.

How to control semantic_model_list ↓

What semantic_model_list does on Force Fabric MCP Server

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

Low Risk

Why semantic_model_list needs a policy

This tool retrieves and queries semantic models from a Fabric workspace with no side effects, modifications, or destructive operations. It is a straightforward data retrieval operation that presents no risk of unintended data modification or loss.

From the tool's definition Tool name is 'semantic_model_list' and description states 'List all semantic models in a Fabric workspace.' The verb 'list' and action of retrieving/querying data without modification are characteristic of Read operations.

Documented attack patterns abuse exactly the kind of access semantic_model_list gives an agent:

How to control semantic_model_list

PolicyLayer is an MCP gateway — it sits between your AI agents and Force Fabric MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic_model_list:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "semantic_model_list": {}
  }
}

semantic_model_list 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 Force Fabric MCP Server — 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about semantic_model_list

What does the semantic_model_list tool do? +

List all semantic models in a Fabric workspace. It is categorised as a Read tool in the Force Fabric MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on semantic_model_list? +

Register the Force Fabric MCP Server MCP server in PolicyLayer and add a rule for semantic_model_list: 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 Force Fabric MCP Server. Nothing to install.

What risk level is semantic_model_list? +

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

Can I rate-limit semantic_model_list? +

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

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

semantic_model_list is provided by the Force Fabric MCP Server MCP server (tmdaidevs/force-fabric-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Force Fabric MCP Server tool call.

Start from Force Fabric MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

33 Force Fabric MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.