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LMS MCP 문제 신고

report_lms_problem

Report MCP errors or incorrect results with user-approved summary and diagnostics. Excludes sensitive LMS data, transmits immediately or queues locally for retry.

Instructions

이 MCP의 오류나 잘못된 결과를 접수합니다. 호출 전 사용자에게 전송할 요약·상세·진단 ID·기술 정보를 보여 주고 명시적 승인을 받아야 합니다. LMS 로그인정보, 학번, 강좌명, 공지·과제 본문은 보내지 않습니다. 원격 수집 주소가 설정되면 즉시 전송하고 실패하면 로컬에 재시도 대기 상태로 보관합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsYes사용자가 확인한 상세 설명 (10~4000자). 개인정보와 LMS 본문은 넣지 않음
summaryYes사용자가 확인한 한 줄 요약 (5~160자)
affected_toolNo문제가 발생했거나 개선할 MCP 도구 이름
diagnostic_idNo오류 응답의 진단 ID
confirm_submitYes사용자가 위 내용을 확인하고 접수·전송을 명시적으로 승인했을 때만 true
expected_behaviorNo기대한 동작 또는 원하는 개선 결과
steps_to_reproduceNo재현 단계. 강좌명·과제명·공지 본문은 익명화
include_technical_contextNo앱 버전, OS 종류, CPU 아키텍처, Node 주버전 포함. 기본 true

Schema Changelog

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

  1. First observedv0.7.0

TDQS

A4.4/5.0
Behavior5/5

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

The description discloses important side effects: it sends data immediately if a remote collection address is configured, stores locally for retry on failure, and explicitly excludes sensitive LMS login info, student IDs, course names, and notice/assignment content. It also requires explicit user approval before sending.

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 concise and well-structured: it states the purpose, then the consent requirement, then privacy exclusions, then transmission/retry behavior. Every sentence adds meaningful information without unnecessary fluff.

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?

The description covers purpose, consent, privacy, and retry behavior, which is adequate for this tool. Minor ambiguity remains about what happens when no remote collection address is configured, but this is not critical given the schema and overall clarity.

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 schema already has 100% parameter description coverage with detailed field descriptions. The tool description adds general behavioral context about consent and privacy but does not materially clarify individual parameters beyond what the schema already provides, so 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 clearly states the tool's purpose: '이 MCP의 오류나 잘못된 결과를 접수합니다' (accepts reports of errors or incorrect results from this MCP). This distinguishes it from sibling tools like suggestion or feedback tools.

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?

It gives clear usage context: use for errors or incorrect results, and mandates showing a summary, details, diagnostic ID, and technical info and obtaining explicit consent before calling. It does not explicitly mention alternatives or when not to use it, but the purpose is clear enough.

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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