AI agents invoke StartAHORun to trigger actions in AWS Support MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool likely initiates some form of automated assessment or test run in AWS. Although the description is unavailable (lowering confidence slightly), the naming pattern and context suggest it executes an operation rather than simply reading or writing data. The 'Execute' category is most appropriate as it appears to trigger AWS operations whose outcomes depend on arguments and configuration.
From the tool's definition Tool name 'StartAHORun' indicates execution of an operation (AHO likely refers to AWS Resilience Hub Assessment/Operations).
Documented attack patterns abuse exactly the kind of access StartAHORun gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Support MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for StartAHORun:
{
"version": "1",
"default": "deny",
"tools": {
"StartAHORun": {
"limits": [
{
"counter": "startahorun_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}StartAHORun stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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StartAHORun. It is categorised as a Execute tool in the AWS Support MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Support MCP Server MCP server in PolicyLayer and add a rule for StartAHORun: 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 Support MCP Server. Nothing to install.
StartAHORun is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the StartAHORun 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 StartAHORun. 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.
StartAHORun is provided by the AWS Support MCP Server MCP server (awslabs.aws-support-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Support 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 AWS Support MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.