get_article
Get a single published article with its full Traditional Chinese (zh-TW) content, by article id (UUID).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| articleId | Yes | Article id (UUID). |
Get a single published article with its full Traditional Chinese (zh-TW) content, by article id (UUID).
| Name | Required | Description | Default |
|---|---|---|---|
| articleId | Yes | Article id (UUID). |
Changes observed during successful MCP inspections.
Input schema / $schemaAdded value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It discloses that only published articles are returned and that the full zh-TW content is included, which is meaningful behavioral context beyond the tool name. It does not mention error behavior or authentication, but those are less critical for a simple read-by-id tool.
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 well-structured sentence that front-loads the operation and resource, then adds the retrieval key. Every phrase earns its place with no redundant or vague wording.
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 simple single-parameter read tool, the description provides enough context to call it correctly: which article to fetchasi and what content to expect. It does not describe the return format or error cases, but the lack of an output schema and the simplicity of the tool keep this from being a significant gap.
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?
Schema description coverage is 100%, with the articleId parameter already documented as 'Article id (UUID).' The description merely echoes this rather than adding new semantic meaning, so 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 states a specific verb ('Get'), a specific resource ('a single published article'), and a precise retrieval key ('article id (UUID)'). It also adds the content scope ('full Traditional Chinese (zh-TW) content'), which clearly distinguishes it from sibling tools like list_articles.
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 implies the correct usage context: retrieve one article by its UUID, not a list. It does not explicitly name alternatives or state when not to use it, but the 'single... by article id' phrasing provides clear context for selecting this tool over list_articles.
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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