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chaandannn

nable (finops-mcp)

audit_s3_intelligent_tiering

Identifies S3 buckets where Intelligent-Tiering costs more than S3 Standard due to monitoring fees for objects under 128KB.

Instructions

Finds S3 buckets using Intelligent-Tiering where the monitoring fee exceeds savings. IT costs $0.0025/1,000 objects, making it more expensive than S3 Standard for objects smaller than 128KB.

Args: regions: Unused (S3 is global). Present for API consistency. max_results: Max buckets to return in findings (default 50).

Examples: - "Find S3 buckets where Intelligent-Tiering costs more than it saves" - "Are we wasting money on S3 IT for small files?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionsNo
max_resultsNo
Behavior3/5

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

No annotations provided, so description must carry full behavioral burden. It discloses that the 'regions' parameter is unused and defaults, and the cost logic. However, it does not state whether the operation is read-only or destructive, nor any side effects or required permissions beyond the parameter info.

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?

Description is well-structured with a clear heading, argument list, and examples. It is reasonably concise, but the examples could be integrated or shortened. The key cost logic is front-loaded, aiding comprehension.

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?

The description lacks output schema details—what exactly is returned (list of bucket names, cost savings amounts, etc.)? No prerequisities or permissions are mentioned. For an audit tool, the return format is critical for agent decision-making. Sibling tools may have similar outputs but are not referenced.

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

Parameters3/5

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

With 0% schema description coverage, the description adds meaning by explaining that 'regions' is unused and 'max_results' defaults to 50. However, it does not describe valid ranges or formats for max_results, and regions being unused is explained but no further semantic detail.

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?

Description uses specific verb 'Finds' and resource 'S3 buckets using Intelligent-Tiering', clearly differentiating from sibling audit tools like audit_aws_waste or audit_s3_transfer_acceleration by focusing on Intelligent-Tiering cost inefficiency.

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?

Usage is implied through the description of the scenario (monitoring fee exceeds savings), but no explicit when-to-use, when-not-to-use, or alternative tools are mentioned. Sibling tools like audit_aws_waste or general savings recommendations could be alternatives but are not contrasted.

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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