get_my_description
Retrieve the current description of your Telegram bot, optionally filtered by language code.
Instructions
Get the current bot description.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language_code | No | Two-letter language code |
Retrieve the current description of your Telegram bot, optionally filtered by language code.
Get the current bot description.
| Name | Required | Description | Default |
|---|---|---|---|
| language_code | No | Two-letter language code |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states 'Get the current bot description,' omitting details like read-only nature, behavior when no description exists, or language handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words, efficiently conveying the tool's core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description should explain return behavior (e.g., returns description in specified language or default). It lacks this context, leaving the agent uncertain about output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter (language_code). The description adds no additional meaning beyond the schema's 'Two-letter language code,' so a baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and the resource ('current bot description'), distinguishing it from siblings like set_my_description and get_my_name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use (to retrieve the bot description) but provides no explicit guidance on alternatives or when not to use, leaving the agent to infer from sibling names.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/FantomaSkaRus1/telegram-bot-mcp'
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