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TONresistor

Telegram MCP Server

by TONresistor

sendDice

Send an animated emoji with a random outcome to any Telegram chat. Choose from dice, darts, basketball, football, bowling, or slot machine to add fun interactions.

Instructions

Send an animated emoji that will display a random value. On success, the sent Message is returned. Supported emoji: dice, darts, basketball, football, bowling, slot machine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emojiNoEmoji on which the dice throw animation is based. Currently, must be one of: dice, darts, basketball, football, bowling, or slot_machine. Dice can have values 1-6, darts and bowling 1-6, basketball and football 1-5, slot_machine 1-64. Defaults to dice.
chat_idYesUnique identifier for the target chat or username of the target channel (in the format @channelusername).
reply_markupNoAdditional interface options. A JSON-serialized object for an inline keyboard, custom reply keyboard, instructions to remove a reply keyboard or to force a reply from the user.
protect_contentNoProtects the contents of the sent message from forwarding and saving.
reply_parametersNoDescription of the message to reply to.
message_effect_idNoUnique identifier of the message effect to be added to the message; for private chats only.
message_thread_idNoUnique identifier for the target message thread (topic) of the forum; for forum supergroups only.
allow_paid_broadcastNoPass True to allow up to 1000 messages per second, ignoring broadcasting limits for a fee of 0.1 Telegram Stars per message.
disable_notificationNoSends the message silently. Users will receive a notification with no sound.
business_connection_idNoUnique identifier of the business connection on behalf of which the message will be sent.
direct_messages_topic_idNoUnique identifier for the target direct messages topic; for bots only.
suggested_post_parametersNoInformation about suggested post parameters; for channel chats only.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It discloses the core behavior (animated emoji, random value) and the success return value (sent Message). It does not go further to mention failure conditions, permission requirements, or that the random outcome is server-determined, so it is adequate but not rich.

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 short sentences convey the action, the behavioral highlight, the return value, and the supported emoji set. The most important facts are front-loaded and no sentence is wasted.

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?

The schema documents all 12 parameters, and the description provides the missing behavioral context (random value, returned Message, allowed emoji). It is slightly incomplete in that it does not distinguish itself from sibling send tools or mention prerequisites, but those are covered enough for a calling agent.

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?

The input schema has 100% parameter coverage, so the description does not need to restate parameter meanings. The description adds no real parameter semantics beyond noting the supported emoji, and the schema already covers that for the emoji parameter, so a baseline score is appropriate.

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 begins with a specific action and object: 'Send an animated emoji that will display a random value,' which clearly distinguishes it from ordinary sendSticker/sendAnimation operations. It also lists the supported emoji, leaving no ambiguity about what resource the tool acts on.

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 supported-emoji list and the notion of a random result imply the intended use case (casino/sports game emoji), but the description does not explicitly say when to prefer sendDice over sendAnimation, sendSticker, or sendGame. There is no exclusion or alternative routing, so the guidance is only implied.

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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