AI agents call list_sub_check_rule_results to retrieve information from Amazon ECS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'list' prefix strongly suggests a Read operation that retrieves or queries existing data (likely ECS rule check results). The empty description limits confidence, but naming convention indicates no data creation, modification, or deletion. In absence of evidence suggesting destructive or state-changing behavior, this is classified as Read with medium-low confidence due to missing documentation.
From the tool's definition Tool name 'list_sub_check_rule_results' indicates a listing/retrieval operation with 'list' prefix, suggesting data query without modification. No description provided to confirm scope or side effects.
Documented attack patterns abuse exactly the kind of access list_sub_check_rule_results gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon ECS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_sub_check_rule_results:
{
"version": "1",
"default": "deny",
"tools": {
"list_sub_check_rule_results": {}
}
}list_sub_check_rule_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_sub_check_rule_results. It is categorised as a Read tool in the Amazon ECS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon ECS MCP Server MCP server in PolicyLayer and add a rule for list_sub_check_rule_results: 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 ECS MCP Server. Nothing to install.
list_sub_check_rule_results 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 list_sub_check_rule_results 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 list_sub_check_rule_results. 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.
list_sub_check_rule_results is provided by the Amazon ECS MCP Server MCP server (awslabs.ecs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon ECS 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 ECS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.