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grid_intelligence

US electricity grid intelligence — real-time demand, generation mix (% renewable/gas/nuclear), and grid stress signals. Use to optimize when to run industrial operations, charge EV fleets, or shift compute workloads to low-cost/clean energy periods. Region codes: CISO (California), ERCO (Texas), ...

Part of the Mcp Server server.

grid_intelligence can trigger actions in Mcp Server, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke grid_intelligence to trigger processes or run actions in Mcp Server. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

grid_intelligence can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "grid_intelligence": {
      "limits": [
        {
          "counter": "grid_intelligence_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mcp Server policy for all 32 tools.

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These attack patterns abuse exactly the kind of access grid_intelligence gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so grid_intelligence only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the grid_intelligence tool do? +

US electricity grid intelligence — real-time demand, generation mix (% renewable/gas/nuclear), and grid stress signals. Use to optimize when to run industrial operations, charge EV fleets, or shift compute workloads to low-cost/clean energy periods. Region codes: CISO (California), ERCO (Texas), MISO (Midwest), PJM (Mid-Atlantic), NYIS (New York), ISNE (New England), SWPP (Southwest). Leave empty for all regions.. It is categorised as a Execute tool in the Mcp Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on grid_intelligence? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for grid_intelligence: 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 Mcp Server. Nothing to install.

What risk level is grid_intelligence? +

grid_intelligence is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit grid_intelligence? +

Yes. Add a rate_limit block to the grid_intelligence 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.

How do I block grid_intelligence completely? +

Set action: deny in the PolicyLayer policy for grid_intelligence. 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.

What MCP server provides grid_intelligence? +

grid_intelligence is provided by the Mcp Server MCP server (https://mcp.lonestaroracle.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Server tool call.

Deterministic rules across all 32 Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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