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lychee20000105

wechat-miniapp-engineering-mcp

miniapp_relevant_context

Retrieves task-specific context from a WeChat mini-program project in four tiers: core, near, extended, and background. Supports queries for features like private albums or order review.

Instructions

融合 CodeGraph 的 4-tier context 思路,按任务输出 Core/Near/Extended/Background 四层小程序工程上下文。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathNo
queryNo要收集上下文的任务或问题,例如客户私密相册、预约咨询、后台订单审核。
goalNo可替代 query 的目标描述。
featureNameNo可替代 query 的功能名。
budgetNo上下文预算,约 1200-30000 tokens,默认 8000。
detail_levelNo
limitNo最多扫描多少个安全文本文件,默认 1000。
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It fails to mention whether the tool has side effects, requires specific permissions, or any limitations. The 4-tier structure is introduced but not explained, leaving uncertainty about what the tool actually does.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks necessary details. It front-loads the core idea but is not fully self-contained, requiring the user to infer additional context.

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?

With 7 parameters, no output schema, and no annotations, the description is incomplete. It does not explain the four tiers, output format, or how to interpret results. The tool's complexity demands a richer description.

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 description coverage is 71%, so baseline is 3. The description does not add meaning to individual parameters beyond what the schema provides; it only mentions 'task' which ties to query/goal/featureName. No additional parameter semantics are offered.

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 outputs a 4-tier context (Core/Near/Extended/Background) for tasks, specific to miniapp engineering. However, it does not differentiate from sibling tools like miniapp_inspect_project or miniapp_project_map, which may also provide context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for task-based context retrieval ('按任务输出') but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites.

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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