AI agents call functionDetails 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 |
|---|---|---|---|
function | string | Yes | Function name (e.g. 'arn_parse') |
provider | string | Yes | Provider name (e.g. 'aws') |
namespace | string | — | Provider namespace (e.g. 'hashicorp') |
Parameters from the server's own tool schema.
This tool retrieves documentation or metadata about Terraform provider functions from the Registry. It performs a read-only lookup operation similar to the sibling tools (listDataSources, moduleDetails, providerDetails, etc.), which are all information retrieval tools. No data is created, modified, deleted, or executed—only queried.
From the tool's definition Tool name 'functionDetails' combined with description 'Get details about a Terraform provider function' indicates a query operation that retrieves information without modifying state.
Attacks that exploit this kind of access
Get details about a Terraform provider function. It is categorised as a Read tool in the Terraform MCP Server, which means it retrieves data without modifying state.
functionDetails accepts 3 parameters: function, provider, namespace. Required: function, provider. 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 functionDetails: 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.
functionDetails 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 functionDetails 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 functionDetails. 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.
functionDetails 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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