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telegram-api-mcp

telegram-api-mcp

by EngDawood

send_venue

Sends venue details—title, address, and coordinates—to a Telegram chat so bots can share locations with users.

Instructions

Send information about a venue.

Input Schema

NameRequiredDescriptionDefault
titleYes
addressYes
chat_idYesChat ID or @username
latitudeYes
longitudeYes
reply_markupNoInlineKeyboardMarkup, ReplyKeyboardMarkup, ReplyKeyboardRemove, or ForceReply
foursquare_idNo
foursquare_typeNo
google_place_idNo
protect_contentNo
receiver_user_idNoUser ID
reply_parametersNoReplyParameters object
callback_query_idNo
google_place_typeNo
message_effect_idNo
message_thread_idNo
allow_paid_broadcastNo
disable_notificationNo
business_connection_idNo
direct_messages_topic_idNo
suggested_post_parametersNoSuggestedPostParameters object (price, send_date) — direct messages chats only

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the safety profile is covered by structured data. The description adds nothing beyond that — it doesn't say the effect is posting a message into a chat, that chat_id is the delivery target, or anything about notification/protection behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no padding or redundancy, so it is concise. However, that brevity comes at the cost of substance — the sentence is front-loaded only trivially because there is nothing behind it.

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

Completeness1/5

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

For a 21-parameter, 5-required-parameter send operation with no output schema and low schema coverage, a one-line description is drastically incomplete. An agent cannot determine required inputs, delivery semantics, or interaction with reply/thread parameters from this definition.

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

Parameters1/5

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

Schema description coverage is only 24% across 21 parameters, so the description carries the burden of compensating and does not. Nothing is said about latitude/longitude pairs, title/address pairing, or the numerous optional routing parameters (business_connection_id, message_thread_id, reply_markup), leaving most of the surface undocumented in both places.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a verb and a resource ('Send ... a venue'), so the basic action is inferable, but 'information about a venue' is vague about the fact that it posts a venue message (name, address, coordinates) into a chat. It does nothing to distinguish this from siblings such as send_location, send_contact, or send_message, which also push content into a chat.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all — no statement about when to pick send_venue over send_location, no mention of the chat_id target requirement, and no mention of the reply/thread context available in the parameters. The agent must infer everything from the name.

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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