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chaandannn

nable (finops-mcp)

get_azure_reservation_utilization

Analyze Azure reservation utilization to identify underused reservations and wasted capacity. View monthly usage rates and hours to optimize cloud spending.

Instructions

Fetch Azure reservation utilization summaries from the Capacity API.

Shows monthly utilization rates, used vs reserved hours, and wasted capacity for all reservations visible to the configured service principal. Team plan feature.

Args: start_date: ISO date (YYYY-MM-DD). Defaults to 30 days ago. end_date: ISO date. Defaults to today.

Examples: - "How well are we utilizing our Azure reservations?" - "Which Azure reservations are underutilized?" - "Show wasted Azure reserved capacity this quarter"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNo
start_dateNo
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses data scope (all reservations visible to service principal) and data type (monthly rates, used vs reserved, wasted capacity). Does not mention auth, rate limits, or safety (e.g., read-only). Somewhat transparent 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?

Concise and well-structured: opening sentence defines purpose, followed by details, parameter list, and usage examples. No redundancy. Could be slightly tighter but overall efficient.

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?

Explains output (utilization rates, used vs reserved hours, wasted capacity) and scope, but lacks details on return structure or pagination. Without output schema, more detail would be helpful for complete understanding.

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 adds value by explaining both parameters: ISO date format, defaults (30 days ago for start, today for end). Provides examples. However, it doesn't specify constraints like allowed date ranges.

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 it fetches Azure reservation utilization summaries, specifying monthly utilization rates, used vs reserved hours, and wasted capacity. It distinguishes from siblings by focusing on reservation utilization rather than broader cost or waste tools.

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?

Provides examples of when to use (e.g., 'How well are we utilizing our Azure reservations?') and notes it's a team plan feature. Lacks explicit alternatives or when-not-to-use guidance, but the examples give some 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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