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FantomaSkaRus1

telegram-bot-mcp

send_message

Send a text message to a Telegram chat with optional Markdown or HTML formatting. Supports link previews, reply markup, and silent notifications.

Instructions

Send a text message to a Telegram chat. Supports Markdown and HTML formatting. If chat_id is omitted, sends to the default log group.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesMessage text (up to 4096 characters)
chat_idNoChat ID or @channel_username. Optional — defaults to log group
entitiesNoJSON array of MessageEntity objects (alternative to parse_mode)
parse_modeNoText formatting mode. Default: none
reply_markupNoJSON string with reply markup (inline keyboard, custom keyboard, etc.)
protect_contentNoProtect message from forwarding/saving
reply_parametersNoJSON object with ReplyParameters (e.g. {"message_id": 123})
message_thread_idNoTopic/thread ID for supergroups with topics enabled
disable_notificationNoSend silently without notification
link_preview_optionsNoJSON object with link preview options (e.g. {"is_disabled": true})
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. It mentions formatting and default chat, but omits behavioral traits like character limits (though schema mentions 4096), permission requirements, error handling, or response behavior. This is insufficient for a tool with 10 parameters.

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?

Two concise sentences front-loading the action and key features. No redundancy or filler; every word 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?

Given the high schema coverage and absence of output schema, the description covers core behavior (send, format, default chat). It could mention the reply capabilities or return value, but the schema already details all parameters, so completeness is adequate.

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 schema already describes parameters. The description adds value by explaining the default behavior for chat_id ('sends to the default log group') and formatting support, which enriches understanding 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 the verb 'send' and the resource 'text message to a Telegram chat'. It distinguishes from sibling tools (e.g., send_photo) by specifying 'text message' and mentions formatting support, making the purpose unambiguous.

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 implies use for text messages but does not explicitly compare to siblings like send_message_draft or edit_message. It mentions the optional chat_id default behavior, which aids context, but lacks 'when to use vs. alternatives' guidance.

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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