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VladimirBigunenko

mcp-utility-server

telegram_poll

Send a Telegram poll to the default or specified chat by providing a question and options. Returns confirmation with message and poll IDs, or an error.

Instructions

Send a Telegram Poll to configured/default chat.

Returns dict: {status, message_id, poll_id, chat_id, question, error?}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idNo
optionsYes
questionYes
is_anonymousNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full transparency burden. It states the side effect ('Send') and lists return fields, which is helpful, but it omits important behavioral context such as authentication requirements, whether the chat_id actually overrides the default, rate limits, or failure behavior beyond an 'error?' field.

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

Conciseness4/5

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

The description is short and front-loaded with the main action. The return-shape line is useful and the whole thing is easy to parse. The markdown header adds negligible value but does not harm clarity.

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?

For a side-effecting external messaging tool with no annotations and four parameters, the description is too thin. It lacks usage conditions, parameter details, and behavioral clarifications. The listed return dict partially covers output, but that does not compensate for the missing operational context.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only adds context about a 'configured/default chat,' which loosely relates to chat_id, but it does not explain options, is_anonymous, required question format, or how chat_id interacts with the default. The return dict mentioning 'question' does not meaningfully document parameters.

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 operation: 'Send a Telegram Poll' to a 'configured/default chat.' This is a specific verb+resource statement, and none of the sibling tools overlap with this action, so an agent can immediately identify what the tool does.

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 guidance about when to use this tool versus alternatives, nor any mention of prerequisites or appropriate context. The phrase 'configured/default chat' hints at configuration but does not explain when an agent should invoke this tool.

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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