Get the status of a Spark job instance
AI agents call get-spark-job-instance-status 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 retrieves status information about an existing Spark job instance. It has no side effects—it does not create, modify, delete, or execute operations. It is a straightforward read operation that returns current state information about a running or completed job.
From the tool's definition The tool name and description indicate a retrieval operation: 'Get the status of a Spark job instance' performs a query to fetch status information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get-spark-job-instance-status 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-spark-job-instance-status:
{
"version": "1",
"default": "deny",
"tools": {
"get-spark-job-instance-status": {}
}
}get-spark-job-instance-status 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 the status of a Spark job instance. 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-spark-job-instance-status: 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-spark-job-instance-status 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-spark-job-instance-status 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-spark-job-instance-status. 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-spark-job-instance-status 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.