SearchUserProvidedModule
AI agents call SearchUserProvidedModule to retrieve information from AWS Terraform MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to search or query user-provided modules, which is a retrieval operation with no side effects. Without a description, confidence is moderate but the naming pattern (Search*) and context within an IaC documentation/reference server strongly suggest read-only data access rather than execution or modification.
From the tool's definition Tool name 'SearchUserProvidedModule' indicates a search/lookup operation with no modification capability. The empty description prevents stronger confirmation, but the search verb and module context (consistent with sibling search tools like…
Attacks that exploit this kind of access
SearchUserProvidedModule. It is categorised as a Read tool in the AWS Terraform MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS Terraform MCP Server MCP server in PolicyLayer and add a rule for SearchUserProvidedModule: 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 AWS Terraform MCP Server. Nothing to install.
SearchUserProvidedModule 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 SearchUserProvidedModule 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 SearchUserProvidedModule. 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.
SearchUserProvidedModule is provided by the AWS Terraform MCP Server MCP server (stv-io/aws-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.
Teams ship this data inside their own products. See what a licence covers →