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

With no annotations provided, the description carries the full burden of behavioral disclosure. While '发布' (publish) implies a write/mutation operation, the description doesn't disclose important behavioral aspects: whether this is a live publish or draft creation, what authentication requirements exist beyond the appId/appSecret parameters, whether there are rate limits, what happens on success/failure, or whether the operation is reversible. For a mutation tool with 8 parameters and no annotation coverage, this represents significant gaps.

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 extremely concise - a single Chinese sentence that communicates the core functionality efficiently. It's front-loaded with the main purpose and includes the key feature (Markdown support) without unnecessary elaboration. Every word earns its place, making this an excellent example of conciseness.

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?

For a tool with 8 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what happens after publishing (success response, error conditions), doesn't mention the sibling tool relationship, and provides minimal behavioral context. While the schema documents parameters well, the description fails to compensate for the lack of annotations and output schema, leaving significant gaps in understanding how this tool behaves in practice.

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 schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description adds only one piece of parameter-related information: that content supports Markdown format (implied in the schema's 'Markdown格式的文章内容' but reinforced in the description). This provides minimal additional value beyond what the schema already offers, meeting the baseline expectation when schema coverage is high.

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 ('发布' - publish) and target resource ('文章到微信公众号' - article to WeChat Official Account), making the purpose immediately understandable. It also specifies support for Markdown format, which adds useful detail. However, it doesn't explicitly differentiate from the sibling tool 'wechat_query_status' (which presumably queries status rather than publishes content).

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. While it mentions Markdown support, it doesn't indicate when to use this tool over other publishing methods or when the sibling tool 'wechat_query_status' would be more appropriate. There are no prerequisites, exclusions, or contextual recommendations provided.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool queries status and statistics, implying a read-only operation, but doesn't clarify aspects like authentication needs (though parameters suggest it), rate limits, error handling, or what specific data is returned. This leaves gaps in understanding the tool's behavior.

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, concise sentence in Chinese that directly states the tool's purpose. It's front-loaded with no unnecessary words, making it efficient. However, it could be slightly improved by adding brief context or usage hints without losing conciseness.

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's moderate complexity (3 required parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage guidelines, and output expectations. With no annotations or output schema, more context would be helpful for an AI agent to use it effectively.

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 input schema has 100% description coverage, with clear parameter descriptions in Chinese (e.g., '消息ID' for msgId). The description doesn't add any additional meaning beyond the schema, such as explaining parameter relationships or usage examples. Since schema coverage is high, the baseline score of 3 is appropriate.

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 tool's purpose: '查询文章发布状态和统计数据' translates to 'query article publishing status and statistical data.' This specifies the verb (query) and resource (article publishing status/statistics). However, it doesn't explicitly differentiate from the sibling tool 'wechat_publish_article,' which appears to be for publishing rather than querying.

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 the sibling tool 'wechat_publish_article' or any other tools, nor does it specify prerequisites, contexts, or exclusions for usage.

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