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guyeyouhun

auto-knowledge-base

by guyeyouhun

knowledge_relevant

Retrieve knowledge relevant to your current task by providing a task description and keywords. Returns the most matching entries from the knowledge base.

Instructions

获取与当前任务相关的知识。基于任务描述和关键词返回最匹配的条目。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes当前任务描述
keywordsNo关键词列表
projectNo当前项目名
currentFileNo当前文件路径
maxResultsNo最大返回数
Behavior2/5

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

With no annotations provided, the description carries full burden. It states the tool returns best matching entries but does not disclose read-only nature, behavior with no matches, or any side effects. A retrieval tool should clearly indicate it is a read operation.

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?

Two concise sentences front-loading the action and purpose. No redundant information.

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?

For a 5-parameter retrieval tool with no output schema or annotations, the description lacks details on return format, error handling, or behavior when no results. Incomplete for effective use.

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?

Schema coverage is 100%, so baseline is 3. Description adds that it uses task description and keywords, but does not clarify how project, currentFile, or maxResults affect results beyond schema descriptions. Marginal value added.

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?

Description clearly states the tool retrieves knowledge relevant to the current task, using task description and keywords. It distinguishes from siblings like knowledge_search by emphasizing contextual relevance, but does not explicitly contrast them.

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 on when to use this tool versus siblings like knowledge_search or knowledge_learn. The description implies usage for context-based retrieval but lacks explicit when-to-use or when-not-to-use instructions.

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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