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juejin-mcp-server

by ztxtxwd

get_simple_recommendations

Fetch simplified content recommendations from Juejin, sorted by relevance, popularity, or recency. Filter by content type and user interests to get tailored article or pin suggestions.

Instructions

获取简化版内容推荐,基于当前热门内容和用户兴趣快速生成

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo推荐数量
sort_byNo排序方式relevance
content_typeNo内容类型article
user_interestsNo用户兴趣标签列表
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It implies a read-only 'get' but does not explicitly state non-destructiveness, required permissions, rate limits, or output format. The term 'simplified' is ambiguous about what is simplified.

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 a single, efficient sentence that front-loads the core function ('get simplified recommendations') and adds a concise context clause ('based on hot content and user interests'). No words are wasted.

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?

Despite having 4 parameters and no annotations or output schema, the description fails to provide usage context, behavioral expectations, or differentiation from many sibling recommendation tools. The 'simplified' qualifier is unexplained, leaving the tool incomplete for reliable invocation.

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 provides descriptions for all 4 parameters (limit, sort_by, content_type, user_interests), achieving 100% schema description coverage. The tool description adds no additional parameter-level meaning beyond referencing user interests and hot content, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves simplified content recommendations based on hot content and user interests. It uses a specific verb (get) and resource (simplified content recommendations), but does not explicitly differentiate from sibling recommendation tools beyond the word 'simplified'.

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?

No guidance is provided about when to use this tool versus alternatives. It does not mention any context, exclusions, or sibling tools, leaving the agent without direction for tool selection among many recommendation-related tools.

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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