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lchenter
by lchenter

대표에게 메일 알림 + 댓글 기준 잡기

wyea_notify

Posts an optional GitHub issue comment, preserves the seen wait baseline, and emails an alert so a human can reply and resume paused work.

Instructions

(선택) 이슈에 댓글을 남기고, 기존 대기 기준(seen)을 보존하고(없으면 생성) MailApp 알림 메일을 설정한 수신 이메일 로 보냅니다. 메일 제목 앞에는 서버가 "[WYEA 작업] "을 붙입니다. 결과 mail.ok 가 false 면 재시도하지 말고 note 대로 진행합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes메일 본문(평문). 이슈 URL과 "댓글로 답해 달라"는 문장은 서버가 뒤에 붙입니다.
issueYesGitHub 이슈 번호(비공개 레포 )
commentNo메일 전에 이슈에 남길 댓글(선택). 요청 내용을 이슈에도 남길 때 사용.
subjectYes메일 제목(200자 이내)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses that the server prepends '[WYEA 작업] ' to the subject, appends the issue URL and a 'reply as comment' sentence to the body, preserves the existing seen baseline (creating it if absent), and prescribes error handling (do not retry when mail.ok is false). It does not state authentication requirements or rate limits, so it falls short of a 5.

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?

Three compact sentences with no filler; the optionality and the core action are front-loaded, followed by the server-side transformations and the failure-handling rule. Slightly dense but every sentence earns its place.

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 4-parameter mutation tool with no annotations and no output schema, the description covers the side effects (comment, seen baseline, email) and the one failure signal it references (mail.ok). It is nearly complete, though it could clarify what the tool returns on success beyond the mail.ok flag.

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%, so the schema already documents all four parameters in detail (length limits, exclusiveMinimum, server-appended text). The description adds only marginal framing (comment optionality, seen baseline), consistent with the baseline 3 when the schema does the heavy lifting.

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 names a concrete set of actions (leave an optional comment, preserve/create the 'seen' baseline, send a MailApp notification email) which is far more specific than the name alone. It stops short of differentiating itself from close siblings like wyea_comment or wyea_ask, which the agent must disambiguate unaided.

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 parenthetical '(선택)' marks the comment as optional and the schema note says to use the comment field when the request should also be logged on the issue, but there is no tool-level when-to-use guidance or comparison to the sibling tools (wyea_comment, wyea_ask, wyea_status). The agent gets no explicit condition selecting this tool over the alternatives.

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