AI agents call policySearch 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 |
|---|---|---|---|
query | string | — | Search query for finding policy libraries |
provider | string | — | Filter policies by provider (e.g. 'aws') |
Parameters from the server's own tool schema.
This tool queries the Terraform Registry to retrieve policy library metadata and results. It has no side effects—it does not create, modify, delete, or execute anything. It is purely informational retrieval, fitting the Read category. Severity is low because even if an AI misuses this tool, it can only access publicly available policy information, causing no damage or unauthorized access.
From the tool's definition policySearch is described as 'Search for policy libraries in the Terraform Registry.' The verb 'search' and the context of querying a registry indicate this is a read-only operation that retrieves information without modification.
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
Search for policy libraries in the Terraform Registry. It is categorised as a Read tool in the Terraform MCP Server, which means it retrieves data without modifying state.
policySearch accepts 2 parameters: query, 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 policySearch: 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.
policySearch 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 policySearch 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 policySearch. 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.
policySearch 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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