Bảng giá MONA Cloud
cloud_pricesView current hourly prices for cloud resources to compare costs and plan spending.
Instructions
Đọc đơn giá giờ hiện hành.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
cloud_pricesView current hourly prices for cloud resources to compare costs and plan spending.
Đọc đơn giá giờ hiện hành.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.4.2Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full behavioral burden. It discloses that this is a read operation ('Đọc') with no side effects, but it adds nothing else: no mention of response format, freshness, or limitations. This is minimally viable for a zero-parameter read tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short, front-loaded sentence that states exactly what the tool does without wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter, no-output-schema read tool, the description is nearly complete: the agent knows the operation, resource, and scope from the title. It could be improved by explicitly noting the return is a price list and differentiating from vibecloud_prices, but these are minor for this simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema confirms an empty object, so there are no parameters to document. Per the rubric, 0 params earns a baseline of 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Đọc đơn giá giờ hiện hành' (read the current hourly price list). Combined with the title 'Bảng giá MONA Cloud', it clearly identifies this as the MONA Cloud pricing lookup and distinguishes it from the sibling vibecloud_prices tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'current hourly price' implies when the tool should be used, but there is no explicit when-to-use or when-not-to-use guidance, and no mention of alternatives such as vibecloud_prices or cloud_packages. The intended selection context is inferred from the title rather than stated.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/themonagroup/monacloud-mcp'
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