AI agents call resourceArgumentDetails to retrieve information from Terraform without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
version | string | — | Provider version (defaults to latest) |
provider | string | Yes | Provider name (e.g. 'aws') |
resource | string | Yes | Resource name (e.g. 'aws_instance') |
namespace | string | Yes | Provider namespace (e.g. 'hashicorp') |
Parameters from the server's own tool schema.
This tool only reads and queries metadata from the Terraform Registry about resource arguments and attributes. It has no side effects—it cannot modify infrastructure, execute code, or change state. The blast radius of misuse is minimal, as an AI agent retrieving incorrect resource documentation poses no direct risk to systems or data.
From the tool's definition Tool fetches and retrieves details about resource type arguments and attributes; described as 'Fetches comprehensive details' with no mention of creating, modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Fetches comprehensive details about a specific resource type's arguments, including required and optional attributes, nested blocks, and their descriptions. It is categorised as a Read tool in the Terraform MCP Server, which means it retrieves data without modifying state.
resourceArgumentDetails accepts 4 parameters: version, provider, resource, namespace. Required: provider, resource, namespace. The full parameter table on this page comes from the server's own tool schema.
Register the Terraform MCP server in PolicyLayer and add a rule for resourceArgumentDetails: 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. Nothing to install.
resourceArgumentDetails 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 resourceArgumentDetails 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 resourceArgumentDetails. 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.
resourceArgumentDetails is provided by the Terraform MCP server (terraform-mcp-server). 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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