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투표함 — 전자투표 법령 자료 · AI 투표함 (Korean e-voting statutes, quorum & ballot drafting)

대시보드

get_dashboard
Read-onlyIdempotent

집회의 결제 상태·안건별 집계·명부 현황. manageToken 필요.

Input Schema

NameRequiredDescriptionDefault
meetingIdYes집회 번호. create_draft_meeting 응답의 meetingId 또는 대시보드 주소의 m= 값. 예: "m_8f3kq2"
manageTokenYes주최자가 넘겨준 관리 토큰(영숫자). 대시보드 주소의 # 뒤 값. 주최자가 확인·결제한 뒤에만 생긴다

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / manageToken / description
      Added value: +"주최자가 넘겨준 관리 토큰(영숫자). 대시보드 주소의 # 뒤 값. 주최자가 확인·결제한 뒤에만 생긴다"
    • addedInput schema / properties / meetingId / description
      Added value: +"집회 번호. create_draft_meeting 응답의 meetingId 또는 대시보드 주소의 m= 값. 예: \"m_8f3kq2\""
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the manageToken prerequisite, but does not explain return shape, privacy sensitivity, or rate-limit behavior.

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 two short sentences with the dashboard contents front-loaded and the auth prerequisite second. It is compact and easy to scan, though the second sentence mainly restates schema requirements.

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?

With full schema coverage and read-only annotations, the main remaining burden is describing what the dashboard returns. The description lists the three return categories at a useful level, though it does not detail formatting or scope limitations.

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 description coverage is 100%, and both parameters are fully documented in the input schema. The description only repeats that manageToken is required, so it adds no meaning beyond the schema baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the concrete dashboard contents: payment status, per-agenda aggregates, and roster status. It is clear what the tool returns, but it does not distinguish this overview from siblings like get_report or get_draft_status.

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

Usage Guidelines2/5

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

The only usage guidance is that manageToken is required, which is already enforced by the schema. There is no explicit guidance on when to choose get_dashboard over get_report, get_draft_status, or other sibling tools.

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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