List countries
list_countriesList the 60 countries covered by NERAI's daily risk indices (code + name), plus platform metadata (as-of dates, calibration).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_countriesList the 60 countries covered by NERAI's daily risk indices (code + name), plus platform metadata (as-of dates, calibration).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that: the result is a fixed set of 60 countries with code+name plus platform metadata (as-of dates, calibration), which tells the agent this is a static reference payload with freshness metadata.
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?
One sentence, front-loaded with the core scope (60 countries, code + name) and the secondary metadata trailing after. No filler, no restating of the title.
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?
There is no output schema, so the description carries the return-value burden and does so partially by naming the payload (code + name) and metadata (as-of dates, calibration). For a zero-parameter reference list this is nearly complete, with only the exact response shape left unspecified.
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 takes zero parameters, so there is no parameter syntax to explain; baseline for a parameterless tool is 4. The description correctly implies no filtering input is required, though it doesn't state whether the list can be narrowed.
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 (List) and resource (countries) and bounds the scope precisely: 'the 60 countries covered by NERAI's daily risk indices (code + name)'. It is clearly a reference/enumeration tool rather than a per-country risk lookup, so an agent can distinguish it from get_country_risk or compare_countries without opening a schema, though no sibling is named explicitly.
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?
Usage is only implied: the description tells the agent this is the coverage/code list, which suggests calling it to discover valid country codes before invoking risk tools, but it never says when to use it versus siblings or what it should not be used for (e.g. it returns no risk values). Adequate but with a clear gap.
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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