Get monitoring overview of all dataflows in workspace with health scoring
AI agents call monitor-workspace-dataflows 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.
This tool retrieves monitoring data and metrics about dataflows in a workspace. It has no side effects—it does not create, modify, delete, or execute anything. It is a pure data retrieval operation for observational purposes. Confidence is high because the description clearly indicates a get/monitoring operation with no mention of changes or execution.
From the tool's definition Tool name 'monitor-workspace-dataflows' and description 'Get monitoring overview of all dataflows in workspace with health scoring' indicate retrieval and observation of dataflow status and metrics.
Documented attack patterns abuse exactly the kind of access monitor-workspace-dataflows 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 monitor-workspace-dataflows:
{
"version": "1",
"default": "deny",
"tools": {
"monitor-workspace-dataflows": {}
}
}monitor-workspace-dataflows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get monitoring overview of all dataflows in workspace with health scoring. It is categorised as a Read tool in the Fabric-Analytics-MCP MCP Server, which means it retrieves data without modifying state.
Register the Fabric-Analytics- MCP server in PolicyLayer and add a rule for monitor-workspace-dataflows: 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.
monitor-workspace-dataflows 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 monitor-workspace-dataflows 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 monitor-workspace-dataflows. 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.
monitor-workspace-dataflows 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.
Free to start. No card required.
83 Fabric-Analytics-MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.