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preview_message

Validate a Telegram message by previewing its send to check formatting, parse mode, and reply settings without actual delivery.

Instructions

Validate a Telegram send without sending anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chatNoChat ID, @username, or omitted for TELEGRAM_DEFAULT_CHAT_ID.
textYesMessage text.
parse_modeNoClient-side parse mode.
reply_to_message_idNoMessage ID to reply to.
Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It correctly indicates the tool is non-destructive ('without sending anything'), but does not elaborate on what validation entails (e.g., permissions, formatting checks) or the nature of the response.

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?

The description is a single, concise sentence that immediately conveys the core functionality. It is front-loaded and contains no extraneous information.

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?

Given the lack of output schema and absence of behavioral details, the description is incomplete. It fails to explain what happens upon validation success or failure, what the output format is, or what aspects are validated. This leaves significant gaps for an AI agent.

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 description coverage is 100%, so the baseline is 3. The tool description adds no extra meaning beyond what the input schema already provides for each parameter. No parameter-specific context is added.

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 tool's purpose: 'Validate a Telegram send without sending anything.' It uses a specific verb ('validate') and resource ('Telegram send'), and effectively distinguishes it from siblings like send_message and reply_to_message by emphasizing the non-sending nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (validation before actual sending) but does not explicitly state when to use or not use this tool, nor does it mention alternatives. The sibling tools provide some context, but the description itself lacks direct guidance.

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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