Low Risk

fabric_list_capacity_workspaces

List all workspaces assigned to a specific capacity

How to control fabric_list_capacity_workspaces ↓

AI agents call fabric_list_capacity_workspaces 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 queries and returns information about workspaces without modifying, executing, or destructing any data. It is a pure read operation that retrieves metadata about capacity assignments. The blast radius of misuse is minimal—an agent could only view workspace information it may not be authorized to see, but cannot perform actions or cause data loss.

From the tool's definition Tool name contains 'list' and description states 'List all workspaces assigned to a specific capacity' — a retrieval operation with no side effects.

Documented attack patterns abuse exactly the kind of access fabric_list_capacity_workspaces 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 fabric_list_capacity_workspaces:

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

fabric_list_capacity_workspaces 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 fabric_list_capacity_workspaces tool do? +

List all workspaces assigned to a specific capacity. 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 fabric_list_capacity_workspaces? +

Register the Fabric-Analytics- MCP server in PolicyLayer and add a rule for fabric_list_capacity_workspaces: 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 fabric_list_capacity_workspaces? +

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

Can I rate-limit fabric_list_capacity_workspaces? +

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

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

fabric_list_capacity_workspaces 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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