Skip to main content
Glama
toni0402-han

toni-mcp-server

by toni0402-han

search_articles

Search recent news articles and blog posts by keyword. Returns clickable links sorted by newest or relevance for the past week.

Instructions

텍스트(주제/키워드)를 입력하면 최근 1주일 동안의 관련 뉴스 기사 및 블로그를 검색하여 최신순/정확도순으로 반환합니다. 각 결과에는 클릭 가능한 실제 링크가 포함됩니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo정렬 기준 (recent: 최신순, relevance: 관련도순, 기본값: recent)recent
countNo반환할 결과 수 (기본값: 10, 최대: 20)
queryYes검색할 텍스트 또는 주제 (예: "AI 반도체", "기후변화", "ChatGPT")
languageNo검색 언어 (ko: 한국어 뉴스, en: 영어 뉴스, 기본값: ko)ko

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes검색 결과 (마크다운 형식, 클릭 가능한 링크 포함)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It usefully discloses the 1-week recency window and that results contain clickable real links, but says nothing about auth, rate limits, or result completeness/caps beyond what the schema implies.

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

Conciseness5/5

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

Two tight sentences, front-loaded with purpose and scope. Every clause contributes (search input, time window, sort order, link output) with no filler.

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?

An output schema exists, so return-format explanation is unnecessary, and the description covers purpose, recency scope, and output nature. It omits mention of the language and count parameters, but the schema documents those fully.

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 enum values and defaults documented for sort, count, and language, so the schema does the heavy lifting. The description only echoes the sort behavior (latest/relevance) and adds no syntax or format detail beyond the schema.

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?

States a precise verb (search) applied to a specific resource (news articles and blogs), and adds scope that constrains the result set to the last week. An agent immediately understands what this tool returns and how it differs from the unrelated utility siblings (greet, calc, geocode, etc.).

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?

The description implies the use case (text/topic in, recent articles out) but gives no explicit when-to-use or when-not guidance. None of the sibling tools are competing search tools, so there is no alternative to route to, which keeps this from being a critical gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.