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TONresistor

Telegram MCP Server

by TONresistor

getMyDescription

Retrieve the active bot description for a specified language code to confirm the exact text shown to users in Telegram.

Instructions

Get the current bot description for the given user language. Returns a BotDescription object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
language_codeNoTwo-letter ISO 639-1 language code or empty string.

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates a read operation and the return type, but it does not explain behavior such as what happens when language_code is empty or invalid, or whether a default description is returned. The description adds only minimal behavioral context beyond the method name.

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 state the purpose and the return type with no wasted words. The key action is front-loaded and the description is appropriately sized for such a simple getter.

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

Completeness3/5

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

The tool is simple with one optional parameter, and the schema covers that parameter. However, there is no output schema and the description does not clarify the behavior for an empty language_code string, which is explicitly allowed by the schema. This leaves a small but meaningful gap in completeness.

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%, so the parameter is already documented. The description adds that the language selects the bot description, which is mildly helpful, but it does not add detail beyond what the schema already implies.

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

Purpose4/5

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

The description clearly states the tool gets the current bot description for a given user language and returns a BotDescription object. It does not explicitly contrast itself with sibling tools like getMyShortDescription or setMyDescription, so it is clear but lacks direct sibling differentiation.

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?

No guidance is provided about when to use this tool versus alternatives such as getMyShortDescription or setMyDescription. The language parameter implies localized use, but there are no explicit conditions, exclusions, or alternative recommendations.

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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