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MCP AWS Monitor

by hbmun

s3_list_objects

List objects in an S3 bucket, sorted by last modified date. Filter by prefix and limit results.

Instructions

S3 버킷 내 객체 목록 조회 (최신순). bucket: 버킷 이름 prefix: 경로 접두사 (예: logs/2024/) limit: 결과 수 (기본 30)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
bucketYes
prefixNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description only mentions ordering ('최신순') but fails to disclose other behaviors like pagination, authentication requirements, or any side effects. Basic behavioral info is present but incomplete.

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

Conciseness4/5

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

The description is concise: a one-line purpose followed by three parameter bullet points. It is front-loaded and efficient, though the parameter explanations could be slightly more structured.

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?

For a simple list operation with an output schema present, the description covers the main parameters and ordering. However, it omits details about pagination, error conditions, and operational context. Adequate but could be more complete.

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?

Schema description coverage is 0%, but the description explains all three parameters: bucket (버킷 이름), prefix (경로 접두사), and limit (결과 수, 기본 30). This adds significant meaning beyond the empty schema property definitions.

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 action ('S3 버킷 내 객체 목록 조회'), the resource (objects in S3 bucket), and ordering ('최신순' - latest first). It distinguishes the tool from siblings like s3_list_buckets and s3_read_text_file.

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 explicit guidance on when to use this tool versus alternatives. There is no information about prerequisites, limitations, or when not to use it. The description only implicitly suggests usage through parameter hints.

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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