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Pradumnasaraf

Aviationstack MCP Server

random_countries_detailed_info

Retrieve detailed information about random countries, including data on population, geography, and demographics, for research or analysis purposes.

Instructions

MCP tool to get random countries detailed info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
number_of_countriesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'gets' information, implying a read-only operation, but doesn't clarify aspects like rate limits, data freshness, or what 'detailed info' entails (e.g., fields returned, format). For a tool with no annotation coverage, this leaves critical behavioral traits unspecified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, straightforward sentence with no wasted words, making it appropriately concise. However, it's front-loaded with 'MCP tool to,' which adds minimal value, and could be more structured by directly stating the action. Overall, it's efficient but could be slightly improved.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (1 parameter) and the presence of an output schema, the description is minimally complete. It identifies the resource and action, but without annotations or parameter details, it lacks depth. The output schema likely covers return values, so the description doesn't need to explain those, but it should better address usage and behavioral context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter with 0% description coverage, and the tool description adds no parameter semantics. It doesn't explain what 'number_of_countries' means (e.g., range, default, constraints like max/min) or how it affects the output. With low schema coverage, the description fails to compensate, leaving the parameter poorly documented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MCP tool to get random countries detailed info' states the verb ('get') and resource ('random countries detailed info'), making the basic purpose clear. However, it's vague about what 'detailed info' includes and doesn't differentiate from sibling tools like 'random_cities_detailed_info' or 'random_airplanes_detailed_info' beyond the resource type. It's adequate but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools, suggest contexts (e.g., for random sampling vs. specific queries), or indicate exclusions. The agent must infer usage based on the name alone, which is insufficient for informed selection.

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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