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knishioka

Cost Management MCP

by knishioka

cost_breakdown

Analyze cloud service costs by service, region, date, or tags across AWS, OpenAI, and Anthropic to identify spending patterns and optimize budgets.

Instructions

Get detailed cost breakdown by multiple dimensions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerNoSpecific provider to analyze (optional)
startDateYesStart date in YYYY-MM-DD format
endDateYesEnd date in YYYY-MM-DD format
dimensionsNoDimensions to break down costs by
topNNoNumber of top items to show
thresholdNoMinimum percentage threshold to include
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states what the tool does ('Get detailed cost breakdown') without mentioning any behavioral aspects like authentication requirements, rate limits, data freshness, or what happens when parameters are omitted. For a tool with 6 parameters and no annotation coverage, this is inadequate.

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 extremely concise - a single sentence that states the core functionality. There's zero wasted language, and it's front-loaded with the essential information. This is an excellent example of efficient communication.

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?

Given the tool's complexity (6 parameters, no annotations, no output schema), the description is insufficient. It doesn't explain what the output looks like, how results are structured, or provide any context about the breakdown format. For a multi-dimensional analysis tool with provider filtering and threshold parameters, more contextual information would be helpful.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. The baseline score of 3 is appropriate when the schema does all the parameter documentation work.

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's purpose: 'Get detailed cost breakdown by multiple dimensions.' It specifies the verb ('Get') and resource ('cost breakdown'), but doesn't distinguish it from sibling tools like 'cost_trends' or 'cost_get' which might have overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'cost_trends', 'cost_get', and provider-specific tools ('aws_costs', 'openai_costs'), there's no indication of when this multi-dimensional breakdown tool is preferred over those alternatives.

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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