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Pradumnasaraf

Aviationstack MCP Server

random_cities_detailed_info

Retrieve detailed information about random cities for travel planning or data analysis. Specify the number of cities to get comprehensive location data.

Instructions

MCP tool to get random cities detailed info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
number_of_citiesYes

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 full burden for behavioral disclosure. It states the tool 'gets' information (implying read-only) but doesn't clarify if it's a safe operation, what data sources are used, potential rate limits, or error conditions. The description is minimal and lacks essential behavioral context for a tool with no annotation coverage.

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 very concise (one sentence) and front-loaded with the core purpose. There's no wasted text, though it could benefit from slightly more detail. The structure is straightforward but minimalistic.

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 moderate complexity (1 parameter, no annotations, but has an output schema), the description is incomplete. It states the basic purpose but lacks details on usage, parameters, and behavior. The presence of an output schema reduces the need to describe return values, but other gaps remain significant for effective tool selection and invocation.

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 provides no parameter information. The description doesn't explain what 'number_of_cities' means (e.g., range limits, default behavior if unspecified, or what 'random' entails). With low schema coverage and no compensation in the description, parameter understanding is inadequate.

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 cities detailed info' states the basic purpose (get random cities info) but is vague about what 'detailed info' includes and doesn't differentiate from sibling tools like 'random_countries_detailed_info'. It specifies a verb ('get') and resource ('random cities') but lacks specificity about the nature of the information retrieved.

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. There's no mention of context, prerequisites, or comparisons to sibling tools like 'random_countries_detailed_info' or other random data tools. The agent must infer usage based solely on the tool name and basic purpose.

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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