Analyzes CloudWatch metric data to determine seasonality, trend, data density and statistical properties. This tool provides RAW DATA ONLY about historical metric data and performs analysis including: - Seasonality detection - Trend analysis - Data density and publishing period - Advanced statis...
Part of the AWS Labs CloudWatch MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call analyze_metric to retrieve information from AWS Labs CloudWatch 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 analyze_metric 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:
analyze_metric:
rules:
- action: allowSee the full AWS Labs CloudWatch MCP Server policy for all 19 tools.
Agents calling read-class tools like analyze_metric 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.
Analyzes CloudWatch metric data to determine seasonality, trend, data density and statistical properties. This tool provides RAW DATA ONLY about historical metric data and performs analysis including: - Seasonality detection - Trend analysis - Data density and publishing period - Advanced statistical measures (min/max/median, std dev, noise) Usage: Use this tool to get objective metric analysis data. Args: ctx: The MCP context object for error handling and logging. namespace: The metric namespace (e.g., "AWS/EC2", "AWS/Lambda") metric_name: The name of the metric (e.g., "CPUUtilization", "Duration") dimensions: List of dimensions with name and value pairs region: AWS region to query. Defaults to AWS_REGION environment variable or us-east-1 if not set. profile_name: AWS CLI Profile Name to use for AWS access. Falls back to AWS_PROFILE environment variable if not specified, or uses default AWS credential chain. statistic: The statistic to use for metric analysis. For guidance on choosing the correct statistic, refer to the get_recommended_metric_alarms tool. Returns: Dict[str, Any]: Analysis results including: - message: Status message indicating success or reason for empty result - seasonality_seconds: Detected seasonality period in seconds - trend: Trend direction (INCREASING, DECREASING, or NONE) - statistics: Statistical measures (std_deviation, variance, etc.) - data_quality: Data density and publishing period information Example: analysis = await analyze_metric( ctx, namespace="AWS/EC2", metric_name="CPUUtilization", dimensions=[ Dimension(name="InstanceId", value="i-1234567890abcdef0") ] ) print(f"Status: {analysis['message']}") print(f"Seasonality: {analysis['seasonality_seconds']} seconds") print(f"Trend: {analysis['trend']}"). It is categorised as a Read tool in the AWS Labs CloudWatch 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 analyze_metric. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS Labs CloudWatch MCP Server MCP server.
analyze_metric 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_metric 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 analyze_metric. 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_metric is provided by the AWS Labs CloudWatch MCP Server MCP server (awslabs.cloudwatch-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.