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产品规格助手

product_spec_assist

Prevents premature coding by auto-classifying user requests into product development, UI modification, debug, or launch, then calling the relevant specification module.

Instructions

统一入口:根据用户原话自动判断场景(产品开发、UI 修改、Debug、上线),并调用对应能力。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes用户原话,必填
known_contextNo已有上下文
preferred_platformNo用户已知平台unknown
strictnessNo追问强度normal
auto_executeNo是否允许自动调用对应 engine

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
routedIntentYes
selectedToolYes
executedYes
resultYes
nextActionYes
technicalProfileNo
pmIntentDecisionNo
quickQuestionsYes
agentGuidanceYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states high-level behavior (scenario detection and routing) without detailing side effects, prerequisites, or what happens in ambiguous cases. This is insufficient for a dispatcher tool.

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 concise sentence that front-loads the core purpose. Every word is meaningful, and there is no redundancy.

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?

Given the tool has 5 parameters, nested objects, and an output schema, the description is too minimal. It does not explain the role of parameters like known_context, preferred_platform, strictness, or auto_execute, nor the nature of the output.

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 has 100% description coverage, so the parameters are documented. The description adds no additional meaning beyond the schema, which is acceptable here.

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 as a unified entry point that automatically determines the scenario (product development, UI modification, Debug, launch) and calls the corresponding capability. This distinguishes it from sibling tools, which are specific to individual tasks.

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 indicates it is the first contact point for user requests, implying when to use it. However, it does not explicitly state when not to use it or mention alternatives for known scenarios.

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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