Identifies idle or underutilized AWS resources including EC2 instances, RDS databases, and unattached EBS volumes that are wasting money. Use this when asked about waste, unused resources, or easy cost savings.
AI agents call get_idle_resources to retrieve information from Cloud FinOps Analyst MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes data about AWS resource utilization to provide cost insights. It reads cloud metadata and metrics to identify inefficiencies, but does not modify, delete, or execute operations on resources.
From the tool's definition Tool description states it 'identifies' idle resources and 'provides' information about underutilized infrastructure. Verbs like 'identifies' and the stated use case ('when asked about waste, unused resources') indicate querying/analysis without modification.
Attacks that exploit this kind of access
Identifies idle or underutilized AWS resources including EC2 instances, RDS databases, and unattached EBS volumes that are wasting money. Use this when asked about waste, unused resources, or easy cost savings. It is categorised as a Read tool in the Cloud FinOps Analyst MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Cloud FinOps Analyst MCP Server MCP server in PolicyLayer and add a rule for get_idle_resources: 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 Cloud FinOps Analyst MCP Server. Nothing to install.
get_idle_resources 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 get_idle_resources 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 get_idle_resources. 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.
get_idle_resources is provided by the Cloud FinOps Analyst MCP Server MCP server (mihirkadam19/finops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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