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baton

by io.github.vinsenzo83
OverviewDiscussionsAdmin

baton_consolidate

여러 핸드오프를 한 결과 보드로 취합한다. 검증 티어(🕸️독립/🔏자가/⚪미검증)와 '누가 검증했나'를 한눈에. codes[]로 직접 넣거나, room_id+api_key를 주면 그 방에 흘러온 핸드오프를 방장이 통째로 취합(코드 복붙 불필요).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "baton_consolidate"
  }
}

Input Schema

NameRequiredDescriptionDefault
codesNo취합할 핸드오프 코드(BTN-H-…) 목록
api_keyNo방장 계정 키(room_id와 함께)
room_idNo방장 모드 — 이 방의 모든 핸드오프 자동 취합

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / api_key
      Added value: +{
+  "description": "방장 계정 키(room_id와 함께)",
+  "type": "string"
+}
    • addedInput schema / properties / room_id
      Added value: +{
+  "description": "방장 모드 — 이 방의 모든 핸드오프 자동 취합",
+  "type": "string"
+}
    • removedInput schema / required
      Removed value: -[
-  "codes"
-]
  2. Added

TDQS

A3.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions consolidation and display of verification tiers, but it does not specify whether the tool is read-only, whether it modifies existing handoffs, or what side effects occur (e.g., creation of a new board). This is insufficient for a tool that likely has side effects.

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 very concise: three sentences front-loaded with the core purpose, followed by the two usage modes. Every sentence adds value without redundancy. The structure is optimal for quick understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the moderate complexity (two modes, no output schema, no annotations), the description covers the main functionality but lacks details on output format, handling of duplicates, prerequisites (e.g., existing handoffs in room), and potential errors. The absence of output schema increases the need for more completeness here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context beyond the schema by explaining that codes[] is for direct input and room_id+api_key enables automatic consolidation without copy-pasting. This clarifies the relationship between parameters and usage scenarios.

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 consolidates multiple handoffs into one result board, mentioning verification tiers and who verified. It distinguishes two usage modes (direct codes or room-based) and differentiates from sibling tools like baton_verify or baton_approve by focusing on aggregation.

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 provides clear context for when to use each of the two modes (codes vs. room_id+api_key), but it does not specify when NOT to use this tool or mention alternative tools among siblings. No exclusions or alternatives are given, limiting guidance for the AI agent.

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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