Get instructions for CloudFormation pre-deployment validation. Returns structured JSON guidance for using CloudFormation's pre-deployment validation feature that catches deployment errors before resource provisioning begins. When you create a change set, CloudFormation automatically validates y...
Part of the AWS Infrastructure as Code MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call get_cloudformation_pre_deploy_validation_instructions to retrieve information from AWS Infrastructure as Code MCP Server 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 get_cloudformation_pre_deploy_validation_instructions 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.
tools:
get_cloudformation_pre_deploy_validation_instructions:
rules:
- action: allowSee the full AWS Infrastructure as Code MCP Server policy for all 8 tools.
Agents calling read-class tools like get_cloudformation_pre_deploy_validation_instructions have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Get instructions for CloudFormation pre-deployment validation. Returns structured JSON guidance for using CloudFormation's pre-deployment validation feature that catches deployment errors before resource provisioning begins. When you create a change set, CloudFormation automatically validates your template against three common failure causes: 1. Invalid property syntax 2. Resource name conflicts with existing resources in your account 3. S3 bucket emptiness constraint on delete operations If validation fails, the change set status shows 'FAILED' with detailed validation failure information. You can view details for each failure, including the property path, to pinpoint exactly where issues occur in your template. The tool returns JSON with: - Overview of validation feature and workflow phases - Detailed descriptions of 3 validation types with failure modes (FAIL blocks execution, WARN allows with warnings) - Complete AWS CLI commands for creating change sets and checking validation results via describe-events API - Key field descriptions (EventType, ValidationName, ValidationStatus, ValidationPath, ValidationFailureMode) - Example commands and remediation guidance - Considerations and limitations Note: Validated change sets can still fail during execution due to resource-specific runtime errors (resource limits, service constraints, permissions). Pre-deployment validation reduces likelihood of common failures but doesn't guarantee deployment success.. It is categorised as a Read tool in the AWS Infrastructure as Code MCP Server MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for get_cloudformation_pre_deploy_validation_instructions. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS Infrastructure as Code MCP Server MCP server.
get_cloudformation_pre_deploy_validation_instructions 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 get_cloudformation_pre_deploy_validation_instructions 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.
Set action: deny in the Intercept policy for get_cloudformation_pre_deploy_validation_instructions. 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.
get_cloudformation_pre_deploy_validation_instructions is provided by the AWS Infrastructure as Code MCP Server MCP server (awslabs.aws-iac-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.