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MCP AWS Monitor

by hbmun

ec2_get_cpu

Get CPU utilization for an EC2 instance by providing instance ID and optional time range. Monitor performance and identify issues.

Instructions

EC2 인스턴스 CPU 사용률 조회. instance_id: EC2 인스턴스 ID hours: 조회 시간 (기본 1시간)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNo
instance_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden but fails to disclose whether it uses CloudWatch, required permissions, or data aggregation details. It only states basic functionality.

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

Conciseness3/5

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

The description is very short and front-loaded with the purpose, which is good, but it mixes purpose and parameter explanations without clear separation. It could be more structured.

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

Completeness2/5

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

For a simple read tool, the description is minimal. It omits crucial context like time range behavior, data source, and output format despite having an output schema. An agent would need to infer too much.

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

Parameters2/5

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

The description explains the two parameters in natural language, adding value over the schema which has 0% description coverage. However, it lacks format details for instance_id and the range or behavior of hours, leaving gaps.

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

Purpose4/5

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

The description clearly states the tool retrieves CPU utilization for an EC2 instance, using a specific verb ('조회' meaning query) and resource. It distinguishes from siblings like cloudwatch_get_metric and ec2_list_instances, though it could be more explicit.

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

Usage Guidelines2/5

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

No guidance on when to use this tool over alternatives like cloudwatch_get_metric, nor mention of prerequisites or limitations. The description is purely functional without usage context.

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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