indices_list_country
Retrieve unique country values for indices to enable regional filtering and market analysis.
Instructions
Get unique country values for indices
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve unique country values for indices to enable regional filtering and market analysis.
Get unique country values for indices
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description is the sole source of behavioral insight, but it only states the action without describing the return format, pagination, ordering, or any caveats. This leaves the agent with minimal information about how the tool behaves.
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, front-loaded sentence with no redundant wording. It is appropriately concise for a simple parameterless tool, though it forgoes potentially valuable context.
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 parameterless tool with no output schema, the description is minimally adequate but does not clarify whether the list spans all indices or any filter, nor the exact output structure. It is enough for a simple lookup but leaves some gaps.
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, so the input schema is fully comprehensive. The description adds nothing about parameters because there are none, making the baseline of 4 appropriate.
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 'Get unique country values for indices' clearly states a specific verb and resource, and the word 'unique' adds a meaningful qualifier beyond the tool name. However, it does not actively differentiate from sibling tools like stocks_list_country or etf_list_country beyond the asset-class naming.
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 is given on when to use this tool versus the many sibling list_country tools for other asset types. The description simply restates the purpose without any context, prerequisites, or exclusions.
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/axionquant/mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server