Display a summary dashboard of workload distribution across the system. Shows how queries and resources are distributed among different workloads. Use this to understand workload balance, verify classification is working correctly, or identify which workloads are consuming the most resources. Ret...
AI agents call show_tdwm_summary 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 displays monitoring data about workload distribution and resource consumption. It has no side effects, does not modify system state, and is explicitly used for 'understand[ing] workload balance' and 'identify[ing]' resource consumption patterns. It falls squarely into the Read category as a data retrieval and reporting function.
From the tool's definition Tool 'show_tdwm_summary' displays a summary dashboard and 'Returns query counts, resource usage, and distribution metrics' — purely informational retrieval with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access show_tdwm_summary 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 show_tdwm_summary:
{
"version": "1",
"default": "deny",
"tools": {
"show_tdwm_summary": {}
}
} show_tdwm_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Display a summary dashboard of workload distribution across the system. Shows how queries and resources are distributed among different workloads. Use this to understand workload balance, verify classification is working correctly, or identify which workloads are consuming the most resources. Returns query counts, resource usage, and distribution metrics by workload. 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 show_tdwm_summary: 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.
show_tdwm_summary 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 show_tdwm_summary 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 show_tdwm_summary. 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.
show_tdwm_summary 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.