AI agents call DiagnoseAHORunFailure as a supporting operation in Amazon SageMaker AI MCP Server workflows.
The name 'DiagnoseAHORunFailure' suggests it reads or analyzes failure information for an AHO (likely an AWS SageMaker automated hyperparameter optimization) run, which would be a Read operation. However, with an empty description, there is significant uncertainty about whether it merely reads diagnostic data or triggers some remediation action.
From the tool's definition Tool name 'DiagnoseAHORunFailure' and empty description provide minimal information. The name suggests a diagnostic/read operation (analyzing a run failure), but cannot be confirmed.
Documented attack patterns abuse exactly the kind of access DiagnoseAHORunFailure gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon SageMaker AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for DiagnoseAHORunFailure:
{
"version": "1",
"default": "deny",
"tools": {
"DiagnoseAHORunFailure": {
"limits": [
{
"counter": "diagnoseahorunfailure_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} DiagnoseAHORunFailure gets a rate cap, and everything else on the server is denied unless you say otherwise.
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DiagnoseAHORunFailure. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for DiagnoseAHORunFailure: 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 Amazon SageMaker AI MCP Server. Nothing to install.
DiagnoseAHORunFailure is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the DiagnoseAHORunFailure 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.
Set action: deny in the PolicyLayer policy for DiagnoseAHORunFailure. 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.
DiagnoseAHORunFailure is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon SageMaker AI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Amazon SageMaker AI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.