notify_telegram
Send task completion, approval requests, and other notifications directly to Telegram without waiting for a reply.
Instructions
답을 기다리지 않고 텔레그램으로 알림만 보낸다(작업 완료/승인요청 안내 등).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Send task completion, approval requests, and other notifications directly to Telegram without waiting for a reply.
답을 기다리지 않고 텔레그램으로 알림만 보낸다(작업 완료/승인요청 안내 등).
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the key behavior (no waiting for reply), but lacks details on rate limits, delivery guarantees, or error handling. Adequate for a simple notification tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence covers purpose, behavior, and examples with zero waste. Information is front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description covers purpose, use cases, and key behavior. It lacks mention of return value, but this is minor given tool simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single 'text' parameter is implied by the description, but no additional meaning is added beyond the schema field name. Schema coverage is 0%, but the description's examples partially compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb (send notification) and resource (Telegram), and explicitly distinguishes from 'ask_via_telegram' by noting no reply is expected. Examples of use cases (task completion, approval request) further clarify purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use (send notifications without reply) via examples, and contrasts with the sibling 'ask_via_telegram'. However, it does not explicitly state when not to use or mention alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/naryeo628/telegram-ask-mcp'
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