Execute a statement in a Livy session
AI agents invoke execute-livy-statement 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.
This tool executes code (Spark statements via Livy) whose effects depend entirely on what statement is provided. While it doesn't inherently delete data, it runs arbitrary code that could modify data, trigger external operations, or consume computational resources. This is characteristic of Execute rather than Read (which has no side effects) or Write (which is explicitly for reversible create/update).
From the tool's definition Tool name contains 'execute' and description states 'Execute a statement in a Livy session'. Livy is Apache Livy, a REST API for interacting with Spark clusters.
Documented attack patterns abuse exactly the kind of access execute-livy-statement 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 execute-livy-statement:
{
"version": "1",
"default": "deny",
"tools": {
"execute-livy-statement": {
"limits": [
{
"counter": "execute-livy-statement_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}execute-livy-statement 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.
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Execute a statement in a Livy session. 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 execute-livy-statement: 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.
execute-livy-statement 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 execute-livy-statement 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 execute-livy-statement. 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.
execute-livy-statement 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.