Get all Spark applications/sessions for a specific lakehouse
AI agents call get-lakehouse-spark-applications 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 queries and returns existing data (Spark applications and sessions) for a lakehouse without creating, modifying, deleting, or executing any operations. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition The tool name and description indicate it 'Get[s] all Spark applications/sessions' — a retrieval operation with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access get-lakehouse-spark-applications 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 get-lakehouse-spark-applications:
{
"version": "1",
"default": "deny",
"tools": {
"get-lakehouse-spark-applications": {}
}
}get-lakehouse-spark-applications is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all Spark applications/sessions for a specific lakehouse. 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 get-lakehouse-spark-applications: 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.
get-lakehouse-spark-applications 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 get-lakehouse-spark-applications 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 get-lakehouse-spark-applications. 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.
get-lakehouse-spark-applications 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.