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sdd_validate_iac

Generates a validation payload for Terraform MCP (plan/validate) or Azure MCP (template validation). The AI client routes this payload to the appropriate MCP server for execution.

How to control sdd_validate_iac ↓

What sdd_validate_iac does on Specky

AI agents invoke sdd_validate_iac to trigger actions in Specky. 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.

High Risk

Why sdd_validate_iac needs a policy

This tool generates and routes execution payloads to external MCP servers (Terraform, Azure) for infrastructure-as-code validation and planning. While described as 'validation', Terraform plan/validate operations interact with cloud provider APIs and can trigger real infrastructure introspection or state operations.

From the tool's definition Generates a validation payload for Terraform MCP (plan/validate) or Azure MCP (template validation). The AI client routes this payload to the appropriate MCP server for execution.

Documented attack patterns abuse exactly the kind of access sdd_validate_iac gives an agent:

How to control sdd_validate_iac

PolicyLayer is an MCP gateway — it sits between your AI agents and Specky, and nothing reaches the server without passing your rules. This is the rule we recommend for sdd_validate_iac:

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

sdd_validate_iac 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.

  1. Create a free account and register Specky — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about sdd_validate_iac

What does the sdd_validate_iac tool do? +

Generates a validation payload for Terraform MCP (plan/validate) or Azure MCP (template validation). The AI client routes this payload to the appropriate MCP server for execution. It is categorised as a Execute tool in the Specky MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sdd_validate_iac? +

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

What risk level is sdd_validate_iac? +

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

Can I rate-limit sdd_validate_iac? +

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

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

sdd_validate_iac is provided by the Specky MCP server (paulasilvatech/specky). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Specky tool call.

Start from Specky, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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