Skip to main content
Glama
Johnhyeon

TelegramLens

by Johnhyeon

telegram_classify_channels

Scans all joined Telegram channels to measure stock mention density and classify them into stock-focused or general discussion channels. Adjustable sampling and threshold settings.

Instructions

가입한 모든 채널을 스캔해 채널별 '종목 언급 밀도'를 측정·리포트합니다.

어느 채널이 종목 위주이고 어느 채널이 거시·잡담 위주인지 보여주는 진단 도구. 수집 대상을 제한하지는 않습니다(전 채널 자동 포함). 전 채널을 훑어 느리니 필요할 때만.

Args: sample: 채널당 샘플링 메시지 수. 기본 80. threshold: 주식채널 판정 밀도(0~1). 기본 0.05(5%). min_mentions: 최소 누적 언급 수. 기본 3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sampleNo
thresholdNo
min_mentionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It explains that it scans all channels, is slow, uses sampling, and classifies based on threshold. However, it does not explicitly state whether the tool modifies data (e.g., read-only) or any side effects. It is likely non-destructive but transparency could be improved by confirming safety.

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 concise with two paragraphs: purpose/scope and parameter details + usage note. It is front-loaded with the main function. Could integrate the scope limitation more succinctly, but overall efficient.

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

Completeness5/5

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

Given the tool's complexity (classification of many channels), the description covers purpose, scope, parameter behavior, and performance warning. Output schema exists, so return format is handled. Complete for an agent to invoke correctly.

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?

Input schema has no descriptions (coverage 0%), but the description explains all three parameters: sample (messages per channel), threshold (stock channel classification density), and min_mentions (minimum cumulative mentions). This adds essential meaning beyond default values and titles, fully compensating for schema gaps.

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?

Description states it scans all channels, measures stock mention density, and classifies channels as stock-focused vs macro/chat. It clearly distinguishes from sibling tools like telegram_channels (listing) or telegram_buzz_score (single-channel buzz). The specific verb 'scan and measure density' and resource 'all channels' make purpose evident.

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?

Description says 'scan all channels and is slow, use only when needed', providing clear usage context. It implies diagnostic purpose but does not explicitly list alternatives or when to avoid. Still, the context is clear enough for an agent to decide.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Johnhyeon/telegramlens-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server