analyze_canary_failures

THE RISK

Low Risk

Why analyze_canary_failures needs a policy

Without a description, confidence is moderate. The name suggests retrieving and analyzing canary failure data rather than modifying it. Given the AWS context and sibling tools that include destructive and write operations, this appears to be a diagnostic/monitoring tool for reading test results. Classified as Read with low severity since it would only expose observational data.

From the tool's definition Tool name 'analyze_canary_failures' suggests analyzing/querying canary test results. No description provided, but 'analyze' typically indicates read-only analysis operations.

Documented attack patterns abuse exactly the kind of access analyze_canary_failures gives an agent:

POLICY

How to control analyze_canary_failures

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_canary_failures:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_canary_failures": {}
  }
}

analyze_canary_failures is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

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EXPLORE

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FAQ

Questions about analyze_canary_failures

What does the analyze_canary_failures tool do? +

analyze_canary_failures. 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 analyze_canary_failures? +

Register the AWS MCP server in PolicyLayer and add a rule for analyze_canary_failures: 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. Nothing to install.

What risk level is analyze_canary_failures? +

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

Can I rate-limit analyze_canary_failures? +

Yes. Add a rate_limit block to the analyze_canary_failures 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.

How do I block analyze_canary_failures completely? +

Set action: deny in the PolicyLayer policy for analyze_canary_failures. 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 analyze_canary_failures? +

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

Enforce policy on every AWS tool call.

Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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