Статьи блога Пандаведа
list_articlesОпубликованные статьи блога pandawed.ru о китайском языке и HSK: адрес (slug), заголовок, описание, дата.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_articlesОпубликованные статьи блога pandawed.ru о китайском языке и HSK: адрес (slug), заголовок, описание, дата.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden. It does disclose that only published articles are returned and lists the returned fields, which is genuinely useful. However, it says nothing about ordering, limits, pagination, or whether the result set can be large, which matters for a catalogue listing.
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?
A single sentence with zero waste, front-loaded on the resource and scope, followed by the field list. Every clause earns its place.
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?
There is no output schema, and the description compensates well by listing the returned fields, so an agent knows what it gets back. Missing only the secondary operational details (ordering, result size, pagination) for a zero-parameter listing tool.
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 tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The field enumeration it provides is return-value context rather than parameter semantics.
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 names a specific resource and scope: published blog articles on pandawed.ru about Chinese language and HSK, and enumerates the fields returned (slug, title, description, date). It is clearly a list operation distinguishable from get_article and search_articles, though it never explicitly contrasts them.
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?
With no parameters and a clear 'published articles' scope, the use case is implied: browse the blog catalogue. But there is no explicit when/when-not guidance or reference to the sibling tools (get_article for a single item, search_articles for filtering), leaving the agent to infer the routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.