list_countries
List all countries with cloud regions, showing the count of regions per country.
Instructions
List all countries that have cloud regions, with count of regions in each
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all countries with cloud regions, showing the count of regions per country.
List all countries that have cloud regions, with count of regions in each
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, non-destructive. The description adds value by stating it returns a count of regions per country, providing additional behavioral context beyond annotations.
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 a single concise sentence that front-loads the core purpose (list countries) and adds the key extra detail (count of regions). No 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?
Despite no output schema, the return (list of countries with region counts) is implied clearly. The tool is simple enough that this level of description is sufficient.
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?
There are no parameters, so baseline is 4. The description effectively communicates the tool's function without needing parameter details.
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 clearly states it lists countries with cloud regions and includes the count of regions per country. It distinguishes from siblings like list_cities and list_providers by specifying the entity (countries) and the included count.
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?
No guidance on when to use this tool versus alternatives. Siblings exist (e.g., list_cities, list_providers) but are not mentioned or contrasted.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jasonwilbur/mcp-server-cloud-regions'
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