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YuanZhiTech

lark-mcp-server

by YuanZhiTech

lark_send_message

Send text, markdown, or post messages to a Feishu chat using its chat ID. Specify message content and type to deliver notifications directly.

Instructions

发送消息到飞书聊天

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idYes聊天 ID(群聊 oc_xxx 或 P2P 会话)
contentYes消息内容
msg_typeNo消息类型,可选 text / markdown / posttext

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description merely states the action without disclosing behavioral details such as authentication requirements, rate limits, message type handling, or what the tool returns on success/failure. This is insufficient for a mutation tool.

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 a single, concise sentence with no wasted words. However, it is so minimal that it under-specifies important context, though this is partly accounted for in other dimensions.

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?

The description is very brief and does not explain message types, chat_id formats, behavior differences from lark_reply_message or lark_send_card, or output details. Even with an output schema, the description lacks the contextual depth needed for effective tool selection and use.

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?

The input schema covers 100% of parameters with descriptions for chat_id, content, and msg_type. The description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate.

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 '发送消息到飞书聊天' (send message to Feishu chat) clearly states the tool's action and resource. It is specific and distinguishable from sibling tools like lark_reply_message (reply) and lark_send_card (send card).

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool relative to alternatives. The description does not mention lark_reply_message, lark_send_card, or any exclusions or prerequisites, leaving the agent without decision-support information.

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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