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thana0623

prompts-mcp-server

by thana0623

init_prompts

Scans a project root directory and generates initial prompts files (context.md, workflow-log.md, recent-5.md, summary-10.md, todos.md, dev-rules.md, modules/) for AI coding assistants, without overwriting existing files.

Instructions

【初始化】扫描目标项目,自动生成原始 prompts 体系(context.md / workflow-log.md / recent-5.md / summary-10.md / todos.md / dev-rules.md / modules/)。已有文件不会覆盖。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectRootNo目标项目根目录路径。不传则使用 PROJECT_ROOT 环境变量或当前目录。
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that existing files are not overwritten, which is a key safety behavior. Additional traits like side effects are not mentioned but the non-destructive nature is clear.

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

Conciseness4/5

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

Single sentence listing all generated files; no redundant information. Could be slightly more structured but it is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and one parameter, the description covers generation scope, parameter fallback, and non-destructive behavior. Lacks details on return values but that is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema describes the parameter, and the description adds value by explaining the fallback behavior (using PROJECT_ROOT environment variable or current directory if not provided), which goes beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

The description clearly states the tool initializes a target project by scanning and auto-generating specific prompt files, listing them explicitly. This distinguishes it from sibling tools like 'bootstrap' or 'make_plan'.

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

Usage Guidelines4/5

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

The description implies it's for initial setup and that existing files are not overwritten, but does not explicitly state when to use vs alternatives or provide exclusions. The context is clear enough for an AI agent.

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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