set_chat_title
Rename a Telegram chat or channel by providing its ID and a new title. Update the display name to keep conversations organized.
Instructions
Rename a chat/channel.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| chat_id | Yes |
Rename a Telegram chat or channel by providing its ID and a new title. Update the display name to keep conversations organized.
Rename a chat/channel.
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| chat_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Rename' without revealing details such as whether the operation is reversible, whether it applies to both private chats and channels, or any side effects like notification to members. This is minimal transparency.
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 sentence with no verbose content. It is appropriately sized and gets straight to the point, containing no wasted words.
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?
The tool is simple, but the description is too sparse. It lacks context about return values, error conditions, or when to prefer this over sibling tools such as set_chat_description. With no annotations and no output schema, the agent needs more information to invoke the tool correctly in real workflows.
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 description coverage is 0%, and the description does not elaborate on the parameters. The names 'chat_id' and 'title' are self-explanatory, but the description adds no extra meaning about allowable formats, constraints (e.g., title length), or the relationship between the parameters.
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 uses the specific verb 'Rename' and clearly identifies the resource ('a chat/channel'). This distinguishes it from sibling tools like set_chat_description, which targets a different attribute. The purpose is unambiguous.
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 gives no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, permissions, or scenarios where renaming is appropriate or disallowed. Without such context, the agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/EncryptMan/telegram-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server