run_tflint_workspace_analysis

WHAT IT DOES

What run_tflint_workspace_analysis does on Azure Terraform MCP Server

AI agents invoke run_tflint_workspace_analysis to trigger actions in Azure Terraform MCP Server. 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 run_tflint_workspace_analysis needs a policy

This tool executes an external analysis tool (tflint) on a workspace, which qualifies as Execute—it triggers an external operation whose effects depend on workspace state and tflint configuration. While primarily a linting/validation tool (lower risk than arbitrary code execution), it is still Execute rather than Read because it actively runs a process.

From the tool's definition Tool name 'run_tflint_workspace_analysis' indicates execution of tflint (a Terraform linter). The name explicitly contains 'run', which denotes code/tool execution. tflint performs static analysis on Terraform code and can be configured with custom rules.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_tflint_workspace_analysis Rate-limited

run_tflint_workspace_analysis 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": {
    "run_tflint_workspace_analysis": {
      "limits": [
        {
          "counter": "run_tflint_workspace_analysis_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 Azure Terraform MCP Server, so you can run agents against it safely.

FAQ

Questions about run_tflint_workspace_analysis

What does the run_tflint_workspace_analysis tool do? +

run_tflint_workspace_analysis. It is categorised as a Execute tool in the Azure Terraform 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 run_tflint_workspace_analysis? +

Register the Azure Terraform MCP Server MCP server in PolicyLayer and add a rule for run_tflint_workspace_analysis: 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 Azure Terraform MCP Server. Nothing to install.

What risk level is run_tflint_workspace_analysis? +

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

Can I rate-limit run_tflint_workspace_analysis? +

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

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

run_tflint_workspace_analysis is provided by the Azure Terraform MCP Server MCP server (liuwuliuyun/tf-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.