AI agents call policyDetails 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 |
|---|---|---|---|
name | string | Yes | Policy library name (e.g. 'vault-aws-secret-type') |
namespace | string | Yes | Policy library namespace (e.g. 'Great-Stone') |
Parameters from the server's own tool schema.
This tool retrieves and queries policy library metadata. It performs a read-only lookup operation similar to other informational tools on the same server (functionDetails, listDataSources, moduleDetails, etc.). There are no side effects, data modifications, code execution, deletions, or financial implications.
From the tool's definition Tool name 'policyDetails' and description 'Get detailed information about a specific policy library including its latest version' indicate retrieval of information without modification or execution.
Attacks that exploit this kind of access
Get detailed information about a specific policy library including its latest version. It is categorised as a Read tool in the Terraform MCP Server, which means it retrieves data without modifying state.
policyDetails accepts 2 parameters: name, namespace. Required: name, 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 policyDetails: 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.
policyDetails 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 policyDetails 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 policyDetails. 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.
policyDetails 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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