get_wind_farm_assessment · Windai MCP: Risk & Policy

WHAT IT DOES

What get_wind_farm_assessment does on Windai

AI agents invoke get_wind_farm_assessment to trigger actions in Windai. 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.

WHY IT NEEDS A POLICY

Why get_wind_farm_assessment needs a policy

The tool executes an AI deep learning model inference pipeline on WindAI's backend. This is an external computational operation whose results depend on the input arguments (location, parameters). It does not merely read cached data — it actively runs a model. No financial transaction, deletion, or data modification is implied, so Execute is the most appropriate category.

From the tool's definition 'Run a full WindAI AI-powered wind resource assessment using our deep learning model' — 'Run' indicates triggering an external AI/ML computation pipeline

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

get_wind_farm_assessment Rate-limited

get_wind_farm_assessment 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_wind_farm_assessment": {
      "limits": [
        {
          "counter": "get_wind_farm_assessment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Windai, so you can run agents against it safely.

FAQ

Questions about get_wind_farm_assessment

What does the get_wind_farm_assessment tool do? +

Run a full WindAI AI-powered wind resource assessment using our deep learning model. It is categorised as a Execute tool in the Windai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on get_wind_farm_assessment? +

Register the Windai MCP server in PolicyLayer and add a rule for get_wind_farm_assessment: 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 Windai. Nothing to install.

What risk level is get_wind_farm_assessment? +

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

Can I rate-limit get_wind_farm_assessment? +

Yes. Add a rate_limit block to the get_wind_farm_assessment 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 get_wind_farm_assessment completely? +

Set action: deny in the PolicyLayer policy for get_wind_farm_assessment. 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 get_wind_farm_assessment? +

get_wind_farm_assessment is provided by the Windai MCP server (umedpaliwal/windai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.