Skip to main content
Glama
x7even

OpenCloudCosts MCP

estimate_unit_economics

Calculate cost per user, request, or transaction by dividing total cloud resource costs by expected monthly usage volume.

Instructions

Estimate per-unit economics (cost per user, per request, per transaction) given a Bill of Materials and expected monthly usage volume.

Args: items: Same format as estimate_bom — list of cloud resource PricingSpec dicts plus quantity field. See estimate_bom for full item format. units_per_month: Monthly volume being measured (e.g. 10000 users) unit_label: What the unit represents — "user", "request", "transaction", etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
unit_labelNouser
units_per_monthYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description holds the burden. It describes the estimation behavior and input format but does not state side effects (e.g., read-only, no modifications). As an estimation tool, likely idempotent, but not explicitly disclosed.

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?

Description is concise: a clear purpose sentence followed by parameter definitions. No redundant information, well-structured with Args section.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters, no annotations, and presence of output schema, description adequately covers input semantics and cross-references estimate_bom. It does not describe return values, but output schema likely handles that. Slight gap in not explaining output format.

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 coverage is 0%, but description adds meaning: clarifies items format (PricingSpec dicts with quantity), units_per_month as monthly volume, unit_label with default 'user' and examples. This compensates well for missing schema descriptions.

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?

Description clearly states verb 'estimate' and resource 'per-unit economics', with specific examples (cost per user/request/transaction). It implies differentiation from sibling estimate_bom but does not explicitly contrast.

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?

Description indicates when to use: for per-unit cost estimation given BOM and volume. It references estimate_bom for item format but does not explain when not to use this tool versus alternatives like estimate_bom or get_price.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/x7even/cloudcostsmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server