CHANGE TRACKING TOOL - Monitor deployments in a group. Use this tool when users ask: - "What deployments happened in the Payment group today?" - "Any recent deployments in the Checkout services?" - "Show me the deployment history for the API group" - "Did anything deploy to the checkout applicat...
Part of the CloudWatch Application Signals MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call get_group_changes to retrieve information from CloudWatch Application Signals 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_group_changes 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_group_changes:
rules:
- action: allowSee the full CloudWatch Application Signals MCP Server policy for all 22 tools.
Agents calling read-class tools like get_group_changes 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.
CHANGE TRACKING TOOL - Monitor deployments in a group. Use this tool when users ask: - "What deployments happened in the Payment group today?" - "Any recent deployments in the Checkout services?" - "Show me the deployment history for the API group" - "Did anything deploy to the checkout application recently?" **WHAT THIS TOOL DOES:** Retrieves deployment events for all services in a group, helping correlate issues with recent deployments. **OUTPUT INCLUDES:** - Summary of deployments - Timeline of deployment events - Details: timestamp, event type, user, affected service **EXAMPLES:** ``` get_group_changes(group_name='Payments') get_group_changes(group_name='Checkout', start_time='2024-01-01 00:00:00') ```. It is categorised as a Read tool in the CloudWatch Application Signals 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_group_changes. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the CloudWatch Application Signals MCP Server MCP server.
get_group_changes 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_group_changes 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_group_changes. 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_group_changes is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-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.