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sonnyflylock

AI Directory MCP Server

by sonnyflylock

find_ai_services_by_country

Find AI services available in a specific country or region by inputting the country name. Returns a list of AI tools and services.

Instructions

Find AI services available in a specific country or region

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryYesCountry name or partial match (e.g., 'United States', 'Canada', 'Mexico')
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It only states the tool finds AI services by country but does not disclose behavioral traits such as whether partial matching is allowed (the schema does mention it), return format, read-only nature, or any limitations.

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 short sentence, which is concise and front-loaded. However, it could be expanded slightly to include key behavioral context without losing conciseness. Still, it is not bloated.

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

Completeness2/5

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

Given the tool's simplicity (one parameter, no output schema, no annotations), the description is too minimal. It does not explain what the tool returns (e.g., 'returns a list of AI service names and details'), how it handles partial matching, or any edge cases. More context is needed for an agent to use it correctly.

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

Parameters3/5

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

Schema coverage is 100% with a clear description of the 'country' parameter including examples. The tool description adds no new semantic value beyond the schema; it simply restates the parameter's purpose. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'Find AI services available in a specific country or region'. It uses a specific verb and resource, and the tool name effectively distinguishes it from siblings like 'list_ai_services' (which likely lists all services) and 'get_ai_service' (singular).

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 like 'list_ai_services'. It does not mention prerequisites, exclusions, or preferred scenarios, leaving the agent to rely solely on the tool name for context.

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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