Low Risk

tf_validate

Validate Terraform configuration

Part of the AWS MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@awslabs/mcp Read Risk 2/5

AI agents call tf_validate to retrieve information from AWS without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though tf_validate only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

aws.yaml
tools:
  tf_validate:
    rules:
      - action: allow

See the full AWS policy for all 58 tools.

Tool Name tf_validate
Category Read
MCP Server AWS MCP Server
Risk Level Low

View all 58 tools →

Agents calling read-class tools like tf_validate have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the tf_validate tool do? +

Validate Terraform configuration. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tf_validate? +

Add a rule in your Intercept YAML policy under the tools section for tf_validate. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS MCP server.

What risk level is tf_validate? +

tf_validate is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit tf_validate? +

Yes. Add a rate_limit block to the tf_validate rule in your Intercept 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.

How do I block tf_validate completely? +

Set action: deny in the Intercept policy for tf_validate. 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.

What MCP server provides tf_validate? +

tf_validate is provided by the AWS MCP server (@awslabs/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on AWS

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.