AI agents call list_workspace_items to retrieve information from Fabric Ontology MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enumerates workspace items without modifying, deleting, or executing operations. However, confidence is moderate rather than high because the description is empty, preventing confirmation of whether it returns sensitive metadata. The medium severity reflects potential information disclosure risks in a workspace context where ontology and data binding details could be sensitive.
From the tool's definition Tool name 'list_workspace_items' indicates a listing/query operation. Server description confirms 'workspace discovery' capabilities. The 'list_' prefix is characteristic of retrieval operations with no side effects.
Documented attack patterns abuse exactly the kind of access list_workspace_items gives an agent:
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 list_workspace_items:
{
"version": "1",
"default": "deny",
"tools": {
"list_workspace_items": {}
}
} list_workspace_items is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_workspace_items. It is categorised as a Read tool in the Fabric Ontology MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Fabric Ontology MCP Server MCP server in PolicyLayer and add a rule for list_workspace_items: 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.
list_workspace_items is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_workspace_items 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.
Set action: deny in the PolicyLayer policy for list_workspace_items. 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.
list_workspace_items 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.
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.
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45 Fabric Ontology MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.