auth_logout

THE RISK

Critical Risk

Why auth_logout needs a policy

This tool clears cached credentials, which is an irreversible action in the session context — the stored authentication tokens/credentials are permanently destroyed. While no data is deleted, the clearing of credentials cannot be undone (re-authentication is required), which aligns with Destructive.

From the tool's definition Logout from Microsoft Fabric and clear cached credentials

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

POLICY

How to control auth_logout

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 auth_logout:

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "auth_logout"
  ]
}

auth_logout disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

Create a free account and register Force Fabric 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.

RESTRICT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Force Fabric MCP Server tools

Execute lakehouse_run_table_maintenance Run table maintenance (OPTIMIZE with V-Order, Z-ORDER, VACUUM) on a Fabric Lakehouse. Execute eventhouse_auto_optimize AUTO-OPTIMIZE: Scans a Fabric Eventhouse for all fixable issues across all KQL databases a Execute eventhouse_fix AUTO-FIX: Applies fixes to a Fabric Eventhouse. Execute eventhouse_fix_materialized_views AUTO-FIX: Diagnoses and repairs broken materialized views in a Fabric Eventhouse. Execute gateway_fix AUTO-FIX: Applies fixes to gateway and connection issues. Execute lakehouse_auto_optimize AUTO-OPTIMIZE: Discovers ALL Delta tables in a Lakehouse and applies fixes to every table Execute lakehouse_fix AUTO-FIX: Applies Spark SQL fixes to a Lakehouse via Livy API (no notebooks needed). Execute semantic_model_fix AUTO-FIX: Uses XMLA/TMSL commands for atomic per-object fixes (measures, columns, tables).

All 33 Force Fabric MCP Server tools →

Destructive tools on other servers

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Go deeper

Critical-risk tools in Force Fabric MCP Server → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about auth_logout

What does the auth_logout tool do? +

Logout from Microsoft Fabric and clear cached credentials. It is categorised as a Destructive tool in the Force Fabric MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on auth_logout? +

Register the Force Fabric MCP Server MCP server in PolicyLayer and add a rule for auth_logout: 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 auth_logout? +

auth_logout is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit auth_logout? +

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

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

auth_logout 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.

CHECK YOUR STACK →