Endpoint documentation structure in Rest API - Time & Space Complexity
When we write documentation for API endpoints, we want to know how the effort to create or read it grows as the number of endpoints increases.
We ask: How does the time to handle documentation change when more endpoints are added?
Analyze the time complexity of the following endpoint documentation structure.
GET /users
Description: Get list of users
Parameters:
- page: integer
- limit: integer
POST /users
Description: Create a new user
Body:
- name: string
- email: string
This snippet shows documentation for two API endpoints with their descriptions and parameters.
Look for repeated parts in the documentation process.
- Primary operation: Writing or reading each endpoint's details (description, parameters, body)
- How many times: Once per endpoint, repeated for every endpoint in the API
As the number of endpoints grows, the time to write or read documentation grows too.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 10 sets of endpoint details |
| 100 | 100 sets of endpoint details |
| 1000 | 1000 sets of endpoint details |
Pattern observation: The work grows directly with the number of endpoints; doubling endpoints doubles the work.
Time Complexity: O(n)
This means the time to handle documentation grows in a straight line with the number of endpoints.
[X] Wrong: "Adding more endpoints does not affect documentation time much because each is small."
[OK] Correct: Even small details add up, so more endpoints mean more total work.
Understanding how documentation effort grows helps you plan and communicate clearly in real projects and interviews.
"What if each endpoint had multiple versions documented? How would the time complexity change?"
Practice
Solution
Step 1: Understand the role of endpoint documentation
Endpoint documentation describes how to use each API URL, including methods and parameters.Step 2: Compare options with this role
Only To explain how to use each API URL including methods and parameters matches this purpose; others describe unrelated tasks.Final Answer:
To explain how to use each API URL including methods and parameters -> Option AQuick Check:
Endpoint documentation = Usage guide [OK]
- Confusing documentation with data storage
- Mixing API documentation with UI design
- Assuming documentation improves server speed
Solution
Step 1: Identify proper JSON syntax for documentation
Endpoint docs often use JSON or similar formats; key-value pairs use colon and quotes for strings.Step 2: Check each option's syntax
"method": "GET" uses correct JSON syntax with quotes and colon; others use invalid or non-standard syntax.Final Answer:
"method": "GET" -> Option AQuick Check:
JSON key-value = colon + quotes [OK]
- Using equal sign instead of colon
- Omitting quotes around strings
- Using XML tags instead of JSON
{
"endpoint": "/users/{id}",
"method": "GET",
"parameters": {
"id": "integer"
},
"response": {
"200": "User object",
"404": "Not Found"
}
}
What is the expected response if the user ID does not exist?Solution
Step 1: Read the response codes in the documentation
The response section shows "404": "Not Found" which means if the user ID is missing, a 404 error is returned.Step 2: Match the scenario to the response code
Since the user ID does not exist, the API returns 404 Not Found, not 200 or 500.Final Answer:
404 Not Found error -> Option BQuick Check:
Missing resource = 404 Not Found [OK]
- Assuming 200 OK always returns
- Confusing 404 with 500 server error
- Expecting empty user object instead of error
{
"endpoint": "/items",
"method": "POST",
"parameters": {
"name": "string",
"quantity": "integer"
},
"response": {
"201": "Item created"
}
}
But the API returns a 400 error when you send the request. What is the most likely mistake in the documentation?Solution
Step 1: Understand POST request structure
POST requests usually send data in the request body, not as URL parameters.Step 2: Check documentation structure
Parameters listed under "parameters" implies URL/query parameters; for POST data, it should be under "requestBody".Final Answer:
Parameters should be inside a "requestBody" section, not "parameters" -> Option CQuick Check:
POST data = requestBody, not parameters [OK]
- Confusing query parameters with request body
- Changing HTTP method incorrectly
- Ignoring correct response codes
/users/{id}. The request body must include email as a string. The response returns 200 with updated user data or 400 if email is invalid. Which is the best way to structure this documentation snippet?Solution
Step 1: Identify correct HTTP method and endpoint
The method is PATCH and endpoint includes user ID as a path parameter "/users/{id}".Step 2: Separate path parameters and request body
"id" is a path parameter, so it goes under "parameters"; "email" is sent in request body, so it belongs in "requestBody".Step 3: Check response codes and descriptions
Response codes 200 and 400 with correct descriptions match the scenario.Final Answer:
{ "endpoint": "/users/{id}", "method": "PATCH", "parameters": { "id": "integer" }, "requestBody": { "email": "string" }, "response": { "200": "Updated user object", "400": "Invalid email error" } } -> Option DQuick Check:
Path params + requestBody + responses = { "endpoint": "/users/{id}", "method": "PATCH", "parameters": { "id": "integer" }, "requestBody": { "email": "string" }, "response": { "200": "Updated user object", "400": "Invalid email error" } } [OK]
- Putting request body fields in parameters
- Using wrong HTTP method
- Omitting requestBody section
Ready to prove it?
Pass the test and this pattern moves unknown
