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FantomaSkaRus1

telegram-bot-mcp

send_poll

Create and send polls to Telegram chats with support for regular and quiz types, multiple answers, and scheduling. Customize options, anonymity, and formatting to engage your audience.

Instructions

Send a poll to a Telegram chat. If chat_id is omitted, sends to the default log group.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoPoll type (default: regular)
chat_idNoChat ID or @channel_username. Optional — defaults to log group
optionsYesJSON array of InputPollOption objects (2-10 items)
questionYesPoll question (up to 300 chars)
is_closedNoCreate poll in closed state
close_dateNoUnix timestamp when poll will be auto-closed
explanationNoExplanation shown after answering (quiz mode, up to 200 chars)
open_periodNoAuto-close after N seconds (5-600)
is_anonymousNoAnonymous poll (default: true)
reply_markupNoJSON string with reply markup
protect_contentNoProtect message from forwarding/saving
reply_parametersNoJSON object with ReplyParameters (e.g. {"message_id": 123})
correct_option_idNo0-based index of the correct answer (quiz mode only)
message_thread_idNoTopic/thread ID for supergroups with topics enabled
question_entitiesNoJSON array of MessageEntity objects for the question
question_parse_modeNoQuestion formatting mode
disable_notificationNoSend silently without notification
explanation_entitiesNoJSON array of MessageEntity for explanation
explanation_parse_modeNoExplanation formatting mode
allows_multiple_answersNoAllow multiple answers (regular polls only)
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions default chat behavior but omits whether the tool returns the sent poll message, handles errors, or is idempotent. For a mutation tool with 20 parameters, this is insufficient transparency.

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?

The description is very short (two sentences) but lacks structured organization like bullet points or sections. It is concise but at the expense of clarity for a tool with many parameters.

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

Completeness2/5

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

Given the high parameter count and no output schema, the description is incomplete: it does not explain return values, error handling, or relation to sibling tools like stop_poll. Additional context is needed for effective use.

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?

Schema coverage is 100% with per-parameter descriptions, so the tool description adds minimal value beyond restating chat_id default behavior. Baseline 3 is appropriate as the schema already documents parameters adequately.

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 tool sends a poll to a Telegram chat, and notes default behavior when chat_id is omitted. This distinguishes it from sibling tools like send_message or stop_poll, 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 hints that chat_id is optional and defaults to the log group, but provides no explicit guidance on when to use this tool versus alternatives like stop_poll or other send tools. There are no prerequisites or exclusion criteria.

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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