List workspaces
AI agents call tf_workspace_list 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.
This tool performs a read-only operation to enumerate Terraform workspaces. It has no side effects, does not modify infrastructure, state, or configurations, and simply retrieves information for inspection. This is a standard Read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'tf_workspace_list' and description 'List workspaces' indicate a query operation that retrieves and displays workspace information without modifying state or infrastructure.
Attacks that exploit this kind of access
List workspaces. It is categorised as a Read tool in the Terraform MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Terraform MCP Server MCP server in PolicyLayer and add a rule for tf_workspace_list: 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.
tf_workspace_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tf_workspace_list 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.
Set action: deny in the PolicyLayer policy for tf_workspace_list. 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.
tf_workspace_list 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.
Every MCP server has a record like this.
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