Skip to main content
Glama

관련 개념·구절

get_related
Read-only

한 절에 이어진 관련 개념·관련 구절(원불교 대사전 관계망 + 각주어 공유)과 공명(정전 교리 ↔ 대종경 실례, 사람이 감수해 승인한 연결). 글자가 겹치지 않아 검색으로는 못 찾는 절들을 끌어온다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes절 id
bookYes책 id. jeongjeon(정전) daejonggyeong(대종경) buljoyogyeong(불조요경) yejeon(예전) jeongsan(정산종사법어) daesan(대산종사법어) gyosa(원불교 교사) gyoheon(원불교 교헌) seonoerok(대종경선외록) hanulan(한울안 한 이치에) daesanbm1~5(대산종사법문집 1~5집)

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already convey readOnlyHint=true and destructiveHint=false. The description adds meaningful behavior beyond that: the types of connections considered (dictionary relation graph, shared footnote terms, human-approved resonance) and the key trait that results may have no character overlap with the query passage. This gives the agent a clear model of what the tool returns and why.

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 compact and front-loaded with the core purpose: '한 절에 이어진 관련 개념·관련 구절'. The parenthetical explanations are dense but each adds meaningful detail about relationship sources. It is slightly dense, but no sentence is wasted.

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 read-only tool with no output schema, the description explains the kind of results returned, the relationship criteria, and why the tool adds value beyond search. It does not describe output format, ordering, or empty-result behavior, but the core context needed to select and call the tool is present.

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 already covers both parameters fully: id is described as 절 id and book as 책 id with the list of valid values. The description does not add parameter-specific details, but with 100% schema coverage the baseline of 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 states a specific action and resource: it retrieves related concepts and passages linked to a given passage via dictionary relations, shared footnote words, and human-approved resonance. It also distinguishes itself from search tools by explicitly noting that retrieved passages may not share overlapping characters, so an agent can tell it apart from search_scripture.

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

Usage Guidelines4/5

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

The description gives concrete guidance on when this tool is valuable: when related passages cannot be found by keyword search because they share no overlapping characters. It implies use for semantic/curated relatedness rather than text search, though it does not explicitly name sibling alternatives or state when not to use the tool.

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

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct operation: structural navigation, passage reading, related-passage discovery, book listing, dictionary lookup, scripture search, and hymn search. There is no meaningful overlap, and tools such as search_scripture and lookup_dictionary are clearly differentiated by corpus and lookup behavior.

Naming Consistency5/5

All tool names follow the same snake_case verb_noun pattern: get_outline, get_passage, get_related, list_books, lookup_dictionary, search_scripture, search_sungga. The verbs are uniform in style and the object of each action is immediately clear.

Tool Count5/5

Seven tools is well-scoped for a scripture research server, covering navigation, reading, searching, dictionary lookup, cross-referencing, and hymn lookup. Each tool earns its place and none feels redundant or unnecessary.

Completeness5/5

The tool surface covers the full research workflow: discovering books, navigating outlines, reading and citing passages, full-text searching, dictionary lookup, related-passage discovery, and hymn search. Search results return ids that feed into get_passage, and dictionary footnotes are linked via ids, so there are no obvious dead ends.

Resources