AI agents call listDataSources 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 |
|---|---|---|---|
provider | string | Yes | Provider name (e.g. 'aws') |
namespace | string | Yes | Provider namespace (e.g. 'hashicorp') |
Parameters from the server's own tool schema.
This tool retrieves information about available data sources from the Terraform Registry. It has no side effects, performs no mutations, executes no code, and carries no financial impact. It is a straightforward informational read operation similar to the sibling tools moduleSearch and policySearch. Even if misused by an AI agent, it can only surface existing metadata and poses minimal risk.
From the tool's definition Tool is 'listDataSources' which 'List[s] all available data sources for a provider and their basic details' — a pure query operation that retrieves and returns metadata without modifying state.
Attacks that exploit this kind of access
List all available data sources for a provider and their basic details. It is categorised as a Read tool in the Terraform MCP Server, which means it retrieves data without modifying state.
listDataSources accepts 2 parameters: provider, namespace. Required: provider, 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 listDataSources: 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.
listDataSources 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 listDataSources 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 listDataSources. 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.
listDataSources 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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