list_countries
Returns all 37 supported countries with ISO codes and currencies. Use when the user asks about an available country or you need to verify a country code.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns all 37 supported countries with ISO codes and currencies. Use when the user asks about an available country or you need to verify a country code.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It accurately describes the output (all 37 countries with ISO codes and currencies) and implies a read-only operation via 'Returns'. It could explicitly say 'read-only' but the current wording is sufficient for a list 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?
Two concise sentences that front-load the action and result, followed by a usage hint. No filler or redundant information.
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 simple no-parameter list tool with no output schema, the description fully specifies the return content and use cases. It is complete and leaves no 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, and the baseline is set to 4. The description adds value by revealing what the output contains (ISO codes and currencies), which is beyond what the empty schema provides.
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?
Description uses a specific verb ('Returns') and resource ('all 37 supported countries') with concrete details (ISO codes, currencies). It clearly distinguishes from sibling tools like get_gold_price or calculate_installment.
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?
Explicitly states when to use: 'when the user asks about an available country or you need to verify a country code.' This provides clear context and leaves no ambiguity about tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: retrieving gold price, retrieving silver price, listing countries, and calculating installments. No two tools overlap in function, so an agent can easily select the right one.
All tool names follow a consistent verb_noun pattern in lowercase with underscores: get_gold_price, get_silver_price, list_countries, calculate_installment. The naming is uniform and predictable.
With 4 tools, the server is well-scoped for its purpose of providing live gold/silver prices and related purchase calculations. The count is within the ideal range and each tool earns its place.
The tool surface covers the primary domain actions: fetching prices, listing countries, and calculating installments. Minor gaps like historical price data or unit conversions exist, but they are not essential to the core workflows.