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nable (finops-mcp)

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Get idle load balancers

get_idle_load_balancers
Read-only

Detect idle AWS load balancers with near-zero traffic over 14 days to eliminate unnecessary hourly base charges.

Instructions

Detect ALBs, NLBs, and Classic ELBs with near-zero traffic over the past 14 days.

Idle load balancers still incur hourly LCU base charges. ALB/NLB cost ~$5.84/mo minimum; Classic ELBs cost ~$18.25/mo minimum.

Args: regions: AWS regions to scan. Defaults to all opted-in regions. request_threshold: Max requests in 14 days to flag as idle (default 100).

Examples: - "Find idle load balancers we can delete" - "Which ALBs have no traffic?" - "Are there any unused load balancers costing us money?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionsNo
request_thresholdNo
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond annotations (readOnlyHint=true, destructiveHint=false), the description adds cost implications of idle load balancers, providing useful behavioral context about ongoing charges.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the core purpose, followed by cost info, parameter details, and examples—each sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While inputs and cost context are covered, the absence of output schema and any description of return values leaves a completeness gap for agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description explains both parameters (regions, request_threshold) including defaults and purpose, adding necessary meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool detects specific resource types (ALBs, NLBs, Classic ELBs) based on a defined condition (near-zero traffic over 14 days), distinguishing it from siblings like 'list_idle_resources' which is broader.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides examples implying usage contexts but lacks explicit guidance on when to use versus alternatives or when not to use, leaving the agent to infer suitability.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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