AI agents use fabric_assign_capacity to create or update resources in Fabric-Analytics-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Fabric-Analytics-MCP environment.
The tool name suggests modifying or assigning Microsoft Fabric capacity (a cloud resource allocation), which is a reversible write operation with potential blast radius: incorrect assignments could impact multiple users' workspace performance or incur unexpected costs.
From the tool's definition Tool name 'fabric_assign_capacity' indicates assignment/modification of capacity resources. No description provided.
Documented attack patterns abuse exactly the kind of access fabric_assign_capacity 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_assign_capacity:
{
"version": "1",
"default": "deny",
"tools": {
"fabric_assign_capacity": {
"limits": [
{
"counter": "fabric_assign_capacity_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}fabric_assign_capacity stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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fabric_assign_capacity. It is categorised as a Write tool in the Fabric-Analytics-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Fabric-Analytics- MCP server in PolicyLayer and add a rule for fabric_assign_capacity: 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.
fabric_assign_capacity is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the fabric_assign_capacity 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 fabric_assign_capacity. 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.
fabric_assign_capacity 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.
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.