snow_monitor_pi_training
📊 Monitor ServiceNow Predictive Intelligence training progress. Shows status, metrics, and completion estimate.
This record as markdown: /tools/serac/snow-monitor-pi-training.md
What snow_monitor_pi_training does on Serac
AI agents call snow_monitor_pi_training to retrieve information from Serac without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why snow_monitor_pi_training is rated Low
This tool retrieves and displays monitoring data about Predictive Intelligence training—status information, metrics, and estimates. It has no side effects, does not modify system state, and does not trigger external operations. It is a pure read/query operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'snow_monitor_pi_training' and description 'Shows status, metrics, and completion estimate' indicate read-only monitoring of training progress without modification, deletion, or code execution.
Attacks that exploit this kind of access
The rule that runs snow_monitor_pi_training safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Serac, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For snow_monitor_pi_training, this is the rule to start with:
snow_monitor_pi_training is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Serac, apply this rule, and every snow_monitor_pi_training call is checked against it from then on.
Questions about snow_monitor_pi_training
📊 Monitor ServiceNow Predictive Intelligence training progress. Shows status, metrics, and completion estimate. It is categorised as a Read tool in the Serac MCP Server, which means it retrieves data without modifying state.
Register the Serac MCP server in PolicyLayer and add a rule for snow_monitor_pi_training: 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 Serac. Nothing to install.
snow_monitor_pi_training 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 snow_monitor_pi_training 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 snow_monitor_pi_training. 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.
snow_monitor_pi_training is provided by the Serac MCP server (serac-labs/serac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Serac, and thousands of servers like it.
This server
Across the catalogue