Code documentation writer
The Code documentation writer creates textual descriptions of provided functions: parameters, return values, examples and limitations. It operates via a web form: insert a code snippet into the "Code and error message" field, specify the language and version in the "Platform or application" field, select the output language and press Generate. The result appears in a separate panel and can be copied or downloaded as a plain text TXT file. The tool does not execute code nor verify its functionality, so the generated description always requires manual review. All examples in this article are fictional and provided solely to demonstrate possible phrasings.
Open tool: Code documentation writer ↗Preparing source data for generation
Before inserting code ensure the fragment contains the function or method signature, type annotations (if present) and, where applicable, a documentation line. The richer the context the more accurate the description will be. If documenting a class method it is useful to include the class definition in its entirety so the tool can see attributes and relationships between methods.
In the "Platform or application" field specify the language and version for example "Python 3.10" or "JavaScript Node.js 18". This helps the tool account for syntactic peculiarities. If the version is not specified formulations may be generic. The maximum length of the first field is 8000 characters the second field 1000 characters.
Select the output language: Russian English or other available options. After pressing Generate the result will appear in a separate panel. It can be copied or downloaded in TXT format. The tool does not save results automatically so save desired fragments manually.
Example input: def add(a: int, b: int) -> int: return a + b. Platform: Python 3.10. Output language: Russian.
Documenting a simple function
For a simple function without side effects the tool typically creates a description including purpose parameter list with types (if provided) return value and an example call. For an addition function the description may read: "Function add takes two integers a and b and returns their sum. Parameters: a integer b integer. Returns: integer. Example: add(2 3) will return 5."
Check that all parameters are listed and their purpose matches the code. If the code has type annotations the tool may use them. However it does not execute code so it cannot determine actual types if they are not explicitly given. In such cases generic formulations may appear in the description such as "parameter a number".
Pay attention to the example call: it should be syntactically correct and demonstrate typical usage. If the example contains an error correct it manually. Remember the tool does not verify the function logic nor detect implementation errors.
Input: def add(a b): return a + b. Platform: Python 3.10. Output (example): Function add takes two arguments a and b and returns their sum. Parameters: a number b number. Returns: number. Example: add(2 3) will return 5.
Documenting a class method with default parameters
When documenting a class method it is important to provide the tool with sufficient context. If you insert only the method the tool may not link it to class attributes. Some details may be missing from the description such as the use of self or other attributes. To avoid this include the class definition in its entirety or at least indicate which class the method belongs to.
The tool will list parameters their default values and the returned result. For example for a rectangle area calculation method with parameter unit="cm" the description may be: "Method area calculates the rectangle area. Parameters: width width height height unit unit of measurement (default 'cm'). Returns a string with area and unit. Example: Rectangle().area(5 10) will return '50 sq cm'."
Check that default values are specified correctly and the example call contains no errors. If the description contains non-existent parameters remove them. The tool provides a draft that must be manually refined.
Input: class Rectangle: def area(self width height unit='cm'): return f'{width*height} sq {unit}'. Platform: Python 3.9. Output (example): Method area calculates the rectangle area. Parameters: width width height height unit unit of measurement (default 'cm'). Returns a string with area and unit. Example: Rectangle().area(5 10) will return '50 sq cm'.Documenting exceptions and error messages
If a function can raise exceptions their description can be included in the documentation. For this insert code containing exception handling or raise statements. The tool will analyze the code and add information about exceptions explicitly specified. For example for a division function with a zero check the description may include: "Exceptions: ValueError if b is 0".
However the tool cannot predict all possible errors if they are not specified in the code. It does not test code and does not guarantee that the description covers all edge cases. Therefore verify that listed exceptions match the code and manually add any missing ones.
Specify the platform and language version so the tool can account for exception handling peculiarities. For example the syntax for exception handling may differ between Python 3.8 and Python 3.10. If the version is not specified formulations may be generic.
Input: def divide(a b): if b == 0: raise ValueError('Division by zero'); return a / b. Platform: Python 3.8. Output (example): Function divide divides a by b. Parameters: a dividend b divisor. Returns division result. Exceptions: ValueError if b is 0. Example: divide(10 2) will return 5.0.How to verify and refine the result
After generation carefully read the text and compare it with the original code. Ensure all parameters are listed their purpose described correctly and the returned value matches the logic. If the code has type annotations check that they are reflected in the description. Pay attention to usage examples: they should be syntactically correct and demonstrate typical calling.
Check that no non-existent details have been added. For instance the tool may invent a parameter that does not exist in the code. In such case remove it. Also ensure the description contains no contradictions nor redundant information.
Remember the result is a draft requiring editing. The tool does not execute code nor guarantee accuracy. Use it as an auxiliary means to speed up documentation writing but always verify facts manually.
After generation review: ensure parameters match code type annotations are reflected and example calls are syntactically correct. Remove any invented parameters and check for contradictions. Use as a starting point for final manual editing.
Tool limitations
The tool does not execute code nor verify its functionality. It analyzes only the textual representation and creates a description based on templates and heuristics. Therefore descriptions may contain inaccuracies omitted details or generic formulations. The model may err and queue and service availability may change.
The tool does not support DOCX or PDF export does not perform batch processing does not save results automatically and does not integrate with other systems. You can copy text or download it in TXT format. Also there is no document upload OCR or panel customization. No style presets sliders or change levels are provided. Neither photorealistic image generation nor audio video generation is supported. All these limitations are important to consider when working.
Maximum length of the first field is 8000 characters the second 1000 characters. For images only vector formats SVG and PNG are available for speech eSpeak WAV and for subtitles SRT. The tool does not generate photorealistic images nor create audio or video. All these restrictions must be borne in mind when using the tool.
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Practical recommendations
Use the tool for quick creation of a documentation draft that can then be manually refined. This saves time when writing similar descriptions. Especially useful for large projects where many functions need documentation.
Always specify the platform and language version so the tool can account for syntactic peculiarities. For example Python 3.10 and Python 2.7 descriptions may differ. If the version is not provided the tool may use generic formulations.
Do not rely on the tool to detect code errors. It does not replace testing and debugging. Its purpose is to assist with documentation not with bug fixing. Use it as an auxiliary means in combination with manual editing.
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The Code documentation writer provides a convenient means of creating draft descriptions of functions. The considered scenarios show how to document simple functions class methods and error handling scripts. Ready examples will help you start work quickly. However remember the limitations: the tool does not execute code does not guarantee accuracy and requires result verification. Use it in combination with manual editing to achieve the best documentation quality.
Open tool: Code documentation writer ↗Interface translations are machine-assisted and may need refinement.