Skip to main content
Glama

规格编译

spec_compile

Compiles a product idea into a structured specification, asking follow-up questions or generating drafts and formal specs based on readiness.

Instructions

编译完整产品规格和开发 Prompt。根据信息完整度输出追问、草案或正式规格。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raw_ideaYes用户原始想法
answersNo用户对追问的回答
allow_assumptionsNo是否允许使用默认假设
min_readiness_scoreNo最低可接受的 readiness 分数

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
readinessYes
inputConsumptionNo
technicalProfileNo
pmIntentDecisionNo
specNo
confirmationNo
clarificationNo
nextActionYes
Behavior2/5

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

With no annotations, description carries full burden. It mentions output type (questions/draft/formal) based on completeness, but does not disclose side effects, authentication needs, or other behaviors beyond generation. No annotation contradiction.

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 is efficient and front-loaded. Could benefit from slightly more structure, but no waste.

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?

Description lacks details on decision logic for output type (e.g., what completeness level triggers questions vs draft vs formal). Does not explain parameter roles or readiness score thresholds. Output schema may cover return format, but the core logic is missing.

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 no extra meaning beyond schema; does not explain how 'answers', 'allow_assumptions', or 'min_readiness_score' affect compilation outcome.

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 compiles complete product specs and dev prompt, and outputs questions/draft/formal spec based on completeness. It's specific verb+resource, and distinguishes from siblings like spec_interrogate (which may drill down) and product_spec_assist (which may assist). However, explicit differentiation from siblings is missing.

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 explicit guidance on when to use this tool vs alternatives like product_spec_assist or spec_interrogate. Description only states its function, not context of use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/georgelue0321-vibe/product-spec-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server