Code documentation writer
The Code documentation writer tool creates textual descriptions of provided functions: parameters, return values, examples and limitations. It operates as a web form with two text fields: "Code and error message" (up to 8000 characters) and "Platform or application" (up to 1000 characters). You select the output language, press Generate and receive a single result in a separate panel, which you can copy or download as plain text TXT. Below is a workflow that helps you get the most out of the tool and not overestimate its capabilities.
Open tool: Code documentation writer ↗What is supplied at input
The first field receives the source code of a function, and if necessary - an error message that needs to be taken into account in the description. The limit is 8000 characters, so large modules are better broken down into separate functions. The code must be syntactically intact: the tool does not fix errors or restore missing fragments; it only describes what it sees in the provided text.
The second field specifies the platform or application: for example, "Python 3.11", "Node.js 20", "Go 1.22". This helps the tool formulate types and standard conventions more accurately. The field is limited to 1000 characters, so a short environment name and version are sufficient.
The more specific the source code, the more useful the result. If a function relies on external dependencies, add a brief comment about them in the text: the tool does not analyze imports or the environment, it works only with what you have inserted.
def add(a, b):
"""Returns the sum of two numbers."""
return a + bHow the result is formulated
After pressing Generate a single text result appears in the selected output language. It typically includes the function's purpose, a list of parameters, return value, example call and limitations. The format is plain text without markup, making it easy to insert into code comments or a documentation draft.
The tool does not support export to DOCX or PDF, does not perform batch processing and does not save generation history. Only copying or downloading in TXT is available. This is an intentional limitation: the result is designed for quick manual editing, not ready-to-publish output.
If a function contains branches or loops, the description may only reflect the logic approximately. Non-standard variable names and non-obvious algorithms are often interpreted imprecisely, so the generated text should be treated as a draft.
The function add(a, b) returns the sum of two numbers. Parameters: a — number, b — number. Returns: number. Example: add(2, 3) → 5. Limitation: does not check input types.
Checking and editing the text
Cross-check the parameter descriptions with the actual code: types, default values and argument necessity. The tool may indicate them incorrectly if they are not expressed explicitly. Check the example call - it should be correct and show typical function usage.
Separately check the limitations section. The tool may not mention side effects, thrown exceptions or peculiarities of working with boundary values. Add these details manually: they are often the most important for users of the function.
Do not insert obviously broken code in the hope that the tool will suggest the cause of the error. It does not execute code nor debug it. An error message in the input field helps describe the context, but does not replace testing.
After checking add "Function does not handle integer overflow and does not cast arguments to a common type".
Applicability boundaries
The tool is oriented toward individual functions. It does not document entire classes, does not parse decorators, generators and asynchronous constructs as reliably as simple functions. For complex cases prepare the description manually and use generation as a draft.
There are no style settings: you cannot choose JSDoc, reStructuredText or any other format. The output text is always the same structure and represents plain text. There are also no integrations with version control systems and no automatic saving.
The model may make mistakes, and queue and service availability may change. Therefore the generated description should not be considered the sole source of truth: cross-check with the code and, if possible, with the function author.
For a function with a default parameter def greet(name='World') the tool may indicate that the name argument is optional, but may not always explain the behavior when None is passed.
Practical working methods
Document functions immediately after writing, while the logic is fresh in memory. This reduces the risk of accumulating undocumented code and simplifies checking the generated text.
If a function is large or takes many parameters, break it down into smaller ones or describe only the key arguments. The tool works more accurately with compact and unambiguous fragments.
Specify the platform and version: for Python 3.11 and Python 2.7 type descriptions and standard functions will differ. This helps get a more relevant draft.
For def greet(name='World'): return f'Hello, {name}!' specify platform "Python 3.11" so the description considers f-strings.Embedding into the workflow
Download the result in TXT and move it to the needed place: into the function's docstring, a documentation file or a pull request comment. The tool does not publish text directly nor send it by email - the transfer is manual.
It is useful for a team to agree on a unified description style: section order, phrasing of limitations, language. The tool does not impose a style, so bringing the text to a common view remains with you.
Treat generation as the first step: it saves time on routine, but the final responsibility for documentation accuracy lies with the developer.
Copy the text into a docstring, add an example call and specify exceptions the function may raise.
Code documentation writer speeds up creating draft function descriptions: you supply the source and platform, receive a text result with parameters, return value, example and limitations, then copy or download it as TXT. The tool does not replace API design, does not check code and does not guarantee accuracy, so the result must be cross-checked with the source and manually supplemented. With careful use it noticeably saves time on routine documentation of simple functions.
Open tool: Code documentation writer ↗Interface translations are machine-assisted and may need refinement.