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MUSE-CODE-SPACE

Vibe Coding Documentation MCP (MUSE)

muse_generate_dev_document

Create README, DESIGN, TUTORIAL, CHANGELOG, API, and ARCHITECTURE markdown documents with badges, API reference, FAQ, and custom sections. Supports multiple languages for documentation needs.

Instructions

Generates README, DESIGN, TUTORIAL, or CHANGELOG documents in Markdown format. Supports multiple languages, badges, API reference, FAQ, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentTypeYesType of document to generate (README, DESIGN, TUTORIAL, CHANGELOG, API, ARCHITECTURE)
titleNoTitle of the document
projectNameNoName of the project
descriptionNoProject or document description
languageNoLanguage for section headers (default: en)
authorNoAuthor name
versionNoVersion number
licenseNoLicense type (e.g., MIT, Apache-2.0)
repositoryNoRepository URL
badgesNoShield.io badges
featuresNoList of features
installationNoInstallation instructions
apiReferenceNoAPI documentation
faqNoFrequently asked questions
contributorsNoList of contributors
codeContextsNoArray of code contexts to include
designDecisionsNoArray of design decisions to include
customSectionsNoCustom sections to add (key: section title, value: content)
includeTableOfContentsNoWhether to include a table of contents
Behavior2/5

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

Annotations are absent, and the description does not disclose behavioral traits like whether the tool saves files to disk, overwrites existing files, requires authentication, or has rate limits. It only says 'Generates' without explaining what happens to the output.

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?

The description is a single, concise sentence that efficiently communicates the tool's purpose and key capabilities. It is not verbose, but could be improved by structuring the list of features for readability.

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 19 parameters (many nested) and no output schema, the description is too brief. It fails to explain the return value or behavior, leaving agents without enough context to understand the tool's full functionality.

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 baseline is 3. The description adds some context by listing supported features (badges, API reference, FAQ) that correspond to parameters, but does not explain parameter formats or relationships beyond the 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 verb 'Generates' and the resource 'dev documents' (README, DESIGN, TUTORIAL, CHANGELOG) in Markdown format. It lists supported features (multiple languages, badges, API reference, FAQ) and is distinct from sibling tools like 'muse_analyze_code' or 'muse_publish_document'.

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 guidance is provided on when to use this tool versus alternatives, such as when to generate vs publish documents. No prerequisites, context, or exclusions are mentioned.

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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