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Johnhyeon

TelegramLens

by Johnhyeon

telegram_send_me

Send plain-text messages to your Telegram Saved Messages for daily briefings or reminders. Messages over 4096 characters are automatically split.

Instructions

데일리 브리핑 등을 사용자 본인 텔레그램 'Saved Messages(나에게)'로 전송합니다.

  • messages: plain-text 문자열 리스트. 각 원소 = 텔레그램 메시지 1개. 예) telegram_send_me(["오늘 시황 요약 ...", "버즈: 많이 언급 vs 급증 ..."])

  • 마크다운/HTML 미적용 — 텔레그램에 기호가 그대로 보이므로 plain text 로 작성(별표·표 금지).

  • 수신자는 항상 본인(Saved Messages)으로 고정 — 남에게는 보낼 수 없습니다(ToS 안전).

  • 전송은 수집 데몬을 통해 이뤄집니다(수집용 세션과 충돌 방지). 데몬 미가동이면 에러 반환.

  • 4096자 초과 메시지는 자동 분할. 반환: 성공 여부 + 전송된 메시지 수.

'아침 주식 비서'처럼 스케줄(매일 07:00) 작업에서 브리핑을 작성해 이 도구로 보냅니다. 내용·개수·구성(시황/버즈/시세/공시)은 호출하는 쪽에서 자유롭게 정합니다.

★ 한 번에 완성해 단 한 번만 호출하세요. 보내기 에 한글 오타·깨진 글자를 검토하고, 전송 후에는 어떤 경우에도 재발송/정정 재호출하지 마세요(중복 메시지 방지). ★ 수치·사실은 데이터(텔레그램 원문/도구 결과)에 있는 것만 쓰세요. 출처에 없는 숫자를 지어내지 말고, 가능하면 근거 채널/원문을 함께 밝히세요.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messagesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. It discloses: receiver fixed (self), uses collection daemon, auto-splits messages over 4096 chars, returns success count, error if daemon not running. It also advises against multiple calls and to check for typos.

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?

Description is well-structured with bullet points and emphasis, but it is somewhat lengthy. It could be more concise while retaining all information. However, it remains clear and organized.

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?

Output schema exists but not provided; description mentions return value (success + count). For a simple tool, this is mostly complete. However, some details like exact return format or error types could be added.

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

Parameters5/5

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

Schema has 1 param with 0% coverage, so description fully compensates. It explains each element is a plain-text message, provides formatting rules, and gives an example. This adds complete meaning beyond the schema.

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 it sends messages to the user's own Telegram Saved Messages. The verb 'send' and resource 'Saved Messages' are explicit. It distinguishes from sibling tools, which are mostly data retrieval or management, not sending.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use context: for scheduled briefings like '아침 주식 비서'. It warns against resending or correcting after sending, and specifies plain text only. It implies alternatives (other tools don't send to self).

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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