Create a Spark job instance from a Spark Job Definition
AI agents invoke create-spark-job-instance to trigger actions in Fabric-Analytics-MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Creating a Spark job instance causes actual job execution on a compute cluster, consuming resources and running arbitrary code defined in the Spark Job Definition. This is an Execute-category action with high severity because a misused invocation could trigger expensive or unintended data processing workloads at scale.
From the tool's definition 'Create a Spark job instance from a Spark Job Definition' — instantiates and runs a Spark job, triggering external compute execution
Documented attack patterns abuse exactly the kind of access create-spark-job-instance 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 create-spark-job-instance:
{
"version": "1",
"default": "deny",
"tools": {
"create-spark-job-instance": {
"limits": [
{
"counter": "create-spark-job-instance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}create-spark-job-instance stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Create a Spark job instance from a Spark Job Definition. It is categorised as a Execute tool in the Fabric-Analytics-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Fabric-Analytics- MCP server in PolicyLayer and add a rule for create-spark-job-instance: 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.
create-spark-job-instance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the create-spark-job-instance 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 create-spark-job-instance. 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.
create-spark-job-instance 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.