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RadiumGu

GCP Billing and Monitoring MCP Server

by RadiumGu

List Service SKUs

gcp-billing-list-skus

Retrieve SKUs and pricing details for Google Cloud services to analyze costs and plan budgets effectively.

Instructions

List all SKUs (Stock Keeping Units) and pricing information for a Google Cloud service

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceIdYesGoogle Cloud service ID (e.g., 'services/6F81-5844-456A')
pageSizeNoMaximum number of SKUs to return (1-100)
pageTokenNoToken for pagination to get next page of results
currencyCodeNoCurrency code for pricing information (default: USD)USD
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions listing SKUs and pricing, but lacks details on permissions required, rate limits, pagination behavior (beyond the schema's pageToken), or what the output format looks like. This is a significant gap for a tool with no annotation coverage.

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 a single, clear sentence with zero wasted words. It is appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

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 complexity (4 parameters, no annotations, no output schema), the description is incomplete. It does not explain the return values, error conditions, or behavioral nuances like pagination or authentication needs. For a tool with rich parameters but no structured output, more context is needed.

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?

The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond implying the tool lists SKUs for a given service, which aligns with the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb ('List') and resource ('all SKUs and pricing information for a Google Cloud service'), making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools like 'gcp-billing-list-services' or 'gcp-billing-list-accounts', which list different resources, so it falls short of a perfect score.

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. For example, it does not mention that this tool is for SKU-level details after identifying a service, unlike 'gcp-billing-list-services' which lists services. There are no explicit when/when-not instructions or named 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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