Display statistics for utility operations (FastLoad, MultiLoad, TPump, etc.) running on the system. Use this to monitor utility performance, check if utilities are consuming excessive resources, or track utility usage patterns. Returns utility names, resource consumption, runtime, and status.
AI agents call list_utility_stats to retrieve information from Teradata Workload Management (WLM) MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries monitoring data about utility operations without any side effects. It provides observability into system performance but cannot modify configurations, execute commands, or affect workload management policies. Classification as Read is appropriate for a monitoring/statistics display function.
From the tool's definition Tool description explicitly states 'Display statistics' and 'monitor utility performance' with no capability to modify, delete, or execute operations. Returns read-only data: 'utility names, resource consumption, runtime, and status.'
Documented attack patterns abuse exactly the kind of access list_utility_stats gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Teradata Workload Management (WLM) MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_utility_stats:
{
"version": "1",
"default": "deny",
"tools": {
"list_utility_stats": {}
}
} list_utility_stats is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Display statistics for utility operations (FastLoad, MultiLoad, TPump, etc.) running on the system. Use this to monitor utility performance, check if utilities are consuming excessive resources, or track utility usage patterns. Returns utility names, resource consumption, runtime, and status. It is categorised as a Read tool in the Teradata Workload Management (WLM) MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Teradata Workload Management (WLM) MCP Server MCP server in PolicyLayer and add a rule for list_utility_stats: 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 Teradata Workload Management (WLM) MCP Server. Nothing to install.
list_utility_stats 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 list_utility_stats 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 list_utility_stats. 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.
list_utility_stats is provided by the Teradata Workload Management (WLM) MCP Server MCP server (teradata-labs/mcp-server-teradata-wlm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Teradata Workload Management (WLM) MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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41 Teradata Workload Management (WLM) MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.