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request_korea_data

Free. Ask for Korea data these tools don't cover yet; the most requested is added first.

Input Schema

NameRequiredDescriptionDefault
wantYes
useCaseNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two useful traits: the request is free, and fulfillment is prioritized by demand rather than immediate. It never states what the call returns (confirmation? the data? nothing) or that the result is not instant, leaving the async submission nature only implied.

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?

Two short sentences with zero filler; "Free." is front-loaded and the prioritization rule follows immediately. It is appropriately sized for a trivial request tool, though the one-word opener carries little semantic weight.

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?

For a simple two-parameter tool with no output schema, the purpose and the demand-based prioritization are covered. Missing are the expected response from the call and any minimal guidance on describing the requested data, which an agent needs to fill the want field well.

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?

Schema coverage is 0%, so the schema documents nothing about the two parameters. The description's "ask for Korea data" loosely maps to want, but adds no guidance on format, specificity, or what useCase should contain, so it fails to compensate for the coverage gap.

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

Purpose4/5

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

The description states a concrete action (request Korea data not yet covered) and a consequence (most requested gets added first), which clearly distinguishes it from the data-returning siblings like korea_festivals and seoul_places. It does not explicitly say it is a suggestion/feedback submission, but the intent is inferable in one read.

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

Usage Guidelines3/5

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

"these tools don't cover yet" implies the triggering condition (use only when no sibling supplies the data), and no sibling is named as an alternative because the trigger is coverage. However, it gives no explicit exclusion such as not using it for data that already exists, and "these tools" is vague about scope.

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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