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get_channel_format_guide

Get formatting strategies for notification channels. Understand supported Markdown features and limits per channel to format messages correctly before sending.

Instructions

获取通知渠道的格式化策略指南

返回各渠道支持的 Markdown 特性、格式限制和最佳格式化提示词。 在调用 send_notification 之前使用此工具,可以了解目标渠道的格式要求, 从而生成最佳排版效果的消息内容。

各渠道格式差异概览:

  • 飞书:支持 粗体彩色文本、链接、--- 分割线

  • 钉钉:支持 ### 标题、粗体、> 引用、--- 分割线,不支持颜色

  • 企业微信:仅支持 粗体链接、> 引用,不支持标题和分割线

  • Telegram:自动转为 HTML,支持粗体/斜体/删除线/代码/链接/引用块

  • ntfy:支持标准 Markdown,不支持颜色

  • Bark:iOS 推送,仅支持粗体和链接,内容需精简

  • Slack:自动转为 mrkdwn,粗体删除线、<url|链接>

  • 邮件:自动转为完整 HTML 网页,支持标题/样式/分割线

  • 通用 Webhook:标准 Markdown 或自定义模板

Args: channel: 指定渠道 ID(可选),不指定返回所有渠道策略 可选值: feishu, dingtalk, wework, telegram, email, ntfy, bark, slack, generic_webhook

Returns: JSON格式的渠道格式化策略,包含支持特性、限制和格式化提示词

Examples: - get_channel_format_guide() # 获取所有渠道策略 - get_channel_format_guide(channel="feishu") # 获取飞书策略 - get_channel_format_guide(channel="telegram") # 获取 Telegram 策略

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but the description fully discloses the return format (JSON with features, limitations, prompts) and that it is a read-only query. It does not explicitly state 'no side effects', but the nature is clear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections (purpose, usage, channel list, args, returns, examples) and front-loaded. However, it is somewhat verbose with the extensive channel format comparisons; could be slightly trimmed.

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

Completeness5/5

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

With an output schema present, the description covers all necessary information: purpose, usage timing, parameter details, return structure, and examples. It fully equips an agent to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'channel' is fully explained: optional, defaults to returning all channels, and a complete list of possible values is provided in the description, compensating for 0% schema description coverage.

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 retrieves formatting strategy guides for notification channels, including Markdown features, limitations, and best prompts. It distinguishes itself from sibling tools like send_notification by positioning itself as a pre-send helper.

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

Usage Guidelines5/5

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

Explicitly states '在调用 send_notification 之前使用此工具' (use before calling send_notification). Provides examples for retrieving all or specific channel guides, making the usage context absolutely clear.

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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