discover_lakehouse_tables

THE RISK

Low Risk

Why discover_lakehouse_tables needs a policy

This tool performs a read-only query operation that retrieves metadata about existing Lakehouse tables. It does not create, modify, delete, or execute any operations; it simply enumerates available resources. Blast radius is minimal—exposure only allows an AI agent to discover what tables exist, not to alter them or trigger external actions.

From the tool's definition Tool name contains 'discover' and description states 'List all tables' — both indicate data retrieval with no modification or side effects.

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

POLICY

How to control discover_lakehouse_tables

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "discover_lakehouse_tables": {}
  }
}

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

Create a free account and register Fabric Ontology MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Fabric Ontology MCP Server tools

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All 45 Fabric Ontology MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about discover_lakehouse_tables

What does the discover_lakehouse_tables tool do? +

List all tables in a Lakehouse with their names and formats. It is categorised as a Read tool in the Fabric Ontology MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on discover_lakehouse_tables? +

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

What risk level is discover_lakehouse_tables? +

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

Can I rate-limit discover_lakehouse_tables? +

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

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

discover_lakehouse_tables is provided by the Fabric Ontology MCP Server MCP server (tmdaidevs/ontology-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 Fabric Ontology MCP Server tool call.

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

CHECK YOUR STACK →