Analyze a Terraform project to identify AWS services used. This tool dynamically extracts service information from Terraform resource declarations.
AI agents call analyze_terraform_project to retrieve information from AWS Lambda Tool MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs static analysis of Terraform code to identify AWS services used. It reads and parses Terraform configuration files to extract metadata about declared resources, but does not execute, modify, delete, or deploy any infrastructure. The action is a query/analysis operation with no side effects on live systems or data.
From the tool's definition Tool description states it 'Analyze' and 'extracts service information from Terraform resource declarations' — purely informational retrieval with no modification, deletion, or execution of infrastructure.
Documented attack patterns abuse exactly the kind of access analyze_terraform_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Lambda Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_terraform_project:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_terraform_project": {}
}
} analyze_terraform_project is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Analyze a Terraform project to identify AWS services used. This tool dynamically extracts service information from Terraform resource declarations. It is categorised as a Read tool in the AWS Lambda Tool MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS Lambda Tool MCP Server MCP server in PolicyLayer and add a rule for analyze_terraform_project: 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 Lambda Tool MCP Server. Nothing to install.
analyze_terraform_project 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 analyze_terraform_project 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 analyze_terraform_project. 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.
analyze_terraform_project is provided by the AWS Lambda Tool MCP Server MCP server (awslabs.lambda-tool-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Lambda Tool MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 AWS Lambda Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.