Telegram MCP Server & Channel Monitor

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

Annotations indicate readOnlyHint=false and destructiveHint=false, suggesting this is a non-destructive write operation. The description adds that it 'sends a response,' which aligns with annotations but doesn't provide additional behavioral context (e.g., rate limits, authentication needs, or side effects like user notifications). No contradiction with annotations exists, but the description offers minimal extra insight beyond what annotations cover.

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, efficient sentence in Korean that directly states the tool's function without unnecessary words. It's front-loaded with the core action and target, making it easy to parse quickly. Every part of the sentence contributes to understanding the purpose.

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 the tool has annotations (readOnlyHint=false, destructiveHint=false) and an output schema (which reduces need to describe return values), the description covers the basic purpose adequately. However, it lacks details on usage context, parameter meanings, and behavioral nuances, leaving gaps for an AI agent to fully leverage the tool. It's minimally complete but not comprehensive.

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?

The description mentions no parameters, while the input schema has one parameter ('params') with nested properties. Schema description coverage is 0%, meaning parameter descriptions are entirely missing in the schema. However, the description doesn't compensate by explaining parameters like 'callback_query_id' or 'text'. Since there's only one top-level parameter, the baseline is slightly higher, but the lack of semantic details keeps the score at a minimal adequate level.

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 ('send a response') and target ('inline button click/callback query'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools, but since sibling tools are mostly about sending messages or managing users/chats, this tool's focus on callback queries is implicitly distinct. The description avoids tautology by not just repeating the 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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a callback query ID from a previous interaction), exclusions, or related tools. Given the sibling list includes many message-sending tools, some context on when callback responses are appropriate would be helpful but is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.