Perform comprehensive health check with scoring, analysis, and recommendations
AI agents call perform-dataflow-health-check 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.
A health check is a read-only diagnostic operation. It queries the state of a dataflow, performs analysis, and returns scoring and recommendations. It does not create, modify, delete, or execute anything—it only inspects and reports. This aligns with the 'Read' category pattern of retrieving or querying data with no side effects.
From the tool's definition Tool name 'perform-dataflow-health-check' and description 'Perform comprehensive health check with scoring, analysis, and recommendations' indicate a diagnostic/monitoring operation that retrieves and analyzes status information without modifying, executing…
Documented attack patterns abuse exactly the kind of access perform-dataflow-health-check 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 perform-dataflow-health-check:
{
"version": "1",
"default": "deny",
"tools": {
"perform-dataflow-health-check": {}
}
}perform-dataflow-health-check is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Perform comprehensive health check with scoring, analysis, and recommendations. 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 perform-dataflow-health-check: 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.
perform-dataflow-health-check 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 perform-dataflow-health-check 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 perform-dataflow-health-check. 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.
perform-dataflow-health-check 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.