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예측 리그 순위

league_standings
Read-onlyIdempotent

AI 예측 리그 순위, 최근 채점 결과, 채점 규칙을 본다. 키 없이 쓸 수 있다. (Prediction league standings.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recentNo최근 채점 결과 개수 (기본 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly=true, idempotent=true, destructive=false and closed-world, so the safety profile is covered. The description adds genuine context beyond that by disclosing that no API key is required, which is behavioral information not present in the annotations.

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, front-loaded sentences with no filler, and the content enumeration comes before the access note. Minor waste in the parenthetical English gloss, which merely restates the title instead of adding information.

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

Completeness4/5

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

For a simple no-auth, read-only, single-optional-parameter tool with rich annotations and no output schema, the description covers what is returned and the access requirement. It is nearly complete, missing only a hint about the shape of standings/scoring-rule output.

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%, and the single 'recent' parameter is fully documented in the schema (including default 10 and range 0–50). The description adds nothing about the parameter, so the 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 names a specific verb ('본다'/view) and resource ('AI 예측 리그 순위'), and further enumerates what that resource contains (recent scoring results, scoring rules). No sibling tool covers standings, so the purpose is unambiguous and easily distinguished.

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?

It states a useful precondition – '키 없이 쓸 수 있다' (usable without a key) – which tells the agent no authentication flow is needed. However, it gives no explicit when-to-use/when-not guidance relative to alternatives (e.g. my_predictions, overview), leaving usage largely implied.

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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