Skip to main content
Glama

latest_content

법마디의 최신 데일리 법률 콘텐츠 — 오늘의 법률상식(daily), 전략 칼럼(strategy), 기술 칼럼(tech), 리걸테크 뉴스(news), 수험 판례 강의노트(bar), 오늘의 판례(precedent). 모든 편은 발행 게이트를 통과했습니다(조문·판례 인용 law.go.kr 검증, 출처 라이브 확인). / Get Lawmadi's latest daily legal content. Every post passed its publishing gate (statute/precedent citations verified against law.go.kr, sources live-checked).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPosts per stream (1-20, default 5).
streamNoSingle stream, or blank for the latest of each.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full transparency burden. It adds valuable behavioral context by asserting that every post passed a publishing gate with citations verified against law.go.kr and sources live-checked, indicating data quality and trustworthiness. While it does not explicitly state that the operation is read-only, that is evident from the verb 'get' and the absence of side effects, so no contradiction or gap is significant.

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?

The description is exceptionally compact: two sentences, bilingual yet front-loaded with the key function and stream list. Every element (stream enumeration, verification claim) earns its place. There is zero redundancy or fluff, making it easy to parse quickly.

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 content-fetch tool with no output schema, the description adequately conveys the full set of content categories and the high-level verification status. It does not describe pagination or return structure, but given the simplicity and the schema's detail on limit, this is sufficient. No further context is likely needed for the agent to understand the tool's 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?

The input schema fully documents both parameters (limit: integer, stream: enum) with descriptions covering all meanings. The tool description adds no extra parameter semantics beyond repeating the stream types in the text, which are already in the schema. Since schema coverage is 100%, the baseline of 3 applies.

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 its function: fetching Lawmadi's latest daily legal content across six enumerated streams (daily, strategy, tech, news, bar, precedent). This distinguishes it from sibling tools like get_daily_content, which presumably focuses on a single stream. The scope is explicit and the verb 'get' is clear.

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?

Usage is implied through the stream parameter and the note that blank returns the latest of each stream. However, the description does not explicitly contrast with sibling tools like get_daily_content or how this relates to search tools. No prerequisites or restrictions are stated, leaving the agent to infer when to prefer this tool over others.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation4/5

Most tools target clearly distinct resources (statutes, precedents, bar exam, documents, content, account), and cross-references in descriptions explicitly disambiguate similar actions like search vs lookup_statute vs lookup_precedent. A few close pairs exist (ask vs ask_expert, latest_content vs get_daily_content, bar_exam_search vs get_exam_answer), but each pair has clear differentiators.

Naming Consistency4/5

The set predominantly follows snake_case verb_noun naming (get_account, lookup_statute, verify_citations, generate_document). Minor deviations like latest_content (no verb) and bar_exam_search (noun-first) break the pattern, but the overall convention is readable and predictable.

Tool Count4/5

At 19 tools, the surface is on the heavier side but each tool addresses a distinct need across a broad legal domain (Q&A, research, document generation, bar exam corpus, content, account management). The count feels justified for the stated scope, though it approaches the upper boundary of reasonable.

Completeness4/5

The server covers the main legal workflows well: Q&A (ask, chat_leader), research (lookup_statute, lookup_precedent, search, verify_citations), document drafting (generate_document), and bar exam prep (bar_exam_search, get_exam_answer). Minor gaps exist, such as no browse/list-all endpoints for statutes or precedents and no way to manage generated documents, but agents can work around these.

Resources