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ymltsh
by ymltsh

mfuns_comment

Post plain-text comments or reply to existing comments on Mfuns community content, including articles, videos, feeds, or comments, with automatic forum format conversion.

Instructions

发表评论或回复评论(内容为纯文本,自动转换为论坛格式)。

Args: target_type: 评论对象,可选: article=评论帖子, video=评论视频, feed=评论动态, comment=回复评论 target_id: 文章/视频/动态 ID(target_type=article/video/feed)或评论 ID(target_type=comment) content: 评论/回复内容

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
target_idYes
target_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that content is plain text and automatically converted to forum format, which is a useful behavioral trait. It also explains the conditional meaning of target_id based on target_type. It does not discuss auth or rate limits, but for a simple comment tool with an output schema, this is reasonably transparent.

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 concise and well-structured: a one-sentence purpose statement followed by a clear Args list. Every sentence adds value, and there is no repetition of schema-encoded information beyond what is needed for clarification.

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?

Given the tool's low complexity, the presence of an output schema, and the complete parameter documentation in the description, the description is sufficiently complete. It covers what the tool does, how parameters behave, and a key behavioral conversion detail.

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?

Schema description coverage is 0%, but the description fully compensates by explaining each parameter in detail: target_type enumerates valid values and their meanings, target_id is mapped to the correct object type, and content is described as the comment/reply text. This goes well beyond the bare schema.

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 opens with a specific verb and resource: '发表评论或回复评论' (post a comment or reply to a comment), and lists the exact target types (article, video, feed, comment). This clearly distinguishes it from sibling tools like create_post, react, and favorite.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool by defining target_type options and their meanings. It does not explicitly mention alternatives or exclusions, but the purpose is unambiguous enough that an agent can infer it is for commenting/replies rather than creating posts or reactions.

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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