tf_output

Get Terraform outputs

Server Terraform MCP Server mjrestivo16/mcp-terraform
Category Read
Risk class Low
Parameters 00 required

What tf_output does on Terraform MCP Server

AI agents call tf_output to retrieve information from Terraform MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why tf_output needs a policy

Terraform outputs are read-only data exports that provide information about managed infrastructure (e.g., IP addresses, DNS names, resource IDs). This tool retrieves that data without executing, creating, modifying, or destroying infrastructure or state. It has minimal blast radius — an AI agent misusing it could only leak or misinterpret output values, not alter infrastructure or create financial obligations.

From the tool's definition Tool description states 'Get Terraform outputs' — a retrieval operation with no modification or destructive action. The verb 'Get' indicates querying/fetching data only.

Questions about tf_output

What does the tf_output tool do? +

Get Terraform outputs. It is categorised as a Read tool in the Terraform MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tf_output? +

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

What risk level is tf_output? +

tf_output is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit tf_output? +

Yes. Add a rate_limit block to the tf_output 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_output completely? +

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

tf_output is provided by the Terraform MCP Server MCP server (mjrestivo16/mcp-terraform). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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