tf_apply · Yaver MCP: Risk & Policy

WHAT IT DOES

What tf_apply does on Yaver

AI agents use tf_apply to create or update resources in Yaver — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.

PARAMETERS

Parameter	Type	Required	Description
`directory`	string	—
`auto_approve`	boolean	—	Auto-approve (default: false)

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why tf_apply needs a policy

An AI agent can call tf_apply faster than any human can review — one bad instruction and it creates or modifies resources in Yaver by the hundred, each call as confident as the last.

Risk signalsAccepts file system path (directory)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

tf_apply Rate-limited

tf_apply stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tf_apply": {
      "limits": [
        {
          "counter": "tf_apply_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about tf_apply

What does the tf_apply tool do? +

Run terraform apply. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does tf_apply accept? +

tf_apply accepts 2 parameters: directory, auto_approve. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on tf_apply? +

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

What risk level is tf_apply? +

tf_apply is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit tf_apply? +

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

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

tf_apply is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.