analyze_canary_failures

A read tool on the AWS MCP server.

SERVERAWS SOURCE@awslabs/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/aws/analyze-canary-failures.md

WHAT IT DOES

What analyze_canary_failures does on AWS

AI agents call analyze_canary_failures to retrieve information from AWS without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why analyze_canary_failures is rated Low

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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs analyze_canary_failures safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analyze_canary_failures, this is the rule to start with:

analyze_canary_failures Allowed

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

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every analyze_canary_failures call is checked against it from then on.

FAQ

Questions about analyze_canary_failures

What does the analyze_canary_failures tool do? +

analyze_canary_failures is a read tool on the AWS MCP server. 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.

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