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generate-execution-pack

把项目描述转成 AI Coding Agent 无人值守执行包(含启动脚本、任务清单、验收标准)。返回执行包摘要(含项目名、ZIP 大小、执行模式);如需下载 ZIP 文件,请调用 HTTP API /api/generate。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNameNo项目名称(可选,不填则自动推断)
projectDescriptionYes项目描述纯文本,1MB 以内

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It does disclose the return format and that the ZIP file is not directly returned but requires calling an HTTP API, which is useful. However, it omits other important behavioral details such as authentication requirements, whether it creates server-side artifacts, side effects, or rate limits.

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 compact and front-loaded, starting with the core purpose, then the return summary, and finally the download alternative. Every clause earns its place, and there is no redundant or filler text.

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 there is no output schema, the description appropriately explains the return summary fields and the ZIP download path. The input schema fully covers parameter details. However, it lacks behavioral details like authentication or side effects, which would be expected without annotations, leaving a minor gap.

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 100%, so the schema already documents both parameters (projectName optional with auto-inference, projectDescription required within 1MB). The description adds no additional parameter semantics beyond what the schema provides, making the baseline score of 3 appropriate.

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 states a specific verb and resource: converting a project description into an AI Coding Agent unattended execution package, and lists the included components (startup script, task list, acceptance criteria). It also clarifies the return format (summary with project name, ZIP size, execution mode) and distinguishes the download path via HTTP API. This is highly specific and leaves no ambiguity about what the tool does.

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 provides clear context for when to use the tool (converting a project description to an execution pack) and an explicit alternative for getting the actual ZIP file via HTTP API. However, it does not state exclusions or conditions under which this tool should not be used, and there are no sibling tools to route between.

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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