| name | matlab-validate-function-arguments |
| description | Use when writing MATLAB functions with arguments blocks — repeating arguments (arguments (Repeating)), .?ClassName property import in constructors, name-value forwarding with namedargs2cell, or migrating from inputParser or validateattributes. Also when reviewing signatures for implicit-conversion pitfalls (size reshaping, class coercion, computed defaults), or when restricting, constraining, or validating function inputs — scalar vs vector enforcement, type rejection, size checking. Also when asked to harden inputs, make a function more robust, tighten input checking, or rewrite for safer input acceptance — even without "validation" or "arguments block" wording. Triggers on: arguments block, mustBe validators, name-value arguments, varargin, inputParser, nargin/narginchk, restrict input, type checking, scalar constraint, harden inputs, defensive programming. Not for: App Designer callbacks, Simulink mask parameters, class inheritance, or runtime validation outside function or property declarations.
|
| license | https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md |
| metadata | {"author":"MathWorks","version":"1.2"} |
MATLAB Function Argument Validation
Write robust MATLAB functions using arguments blocks with correct semantics for size, class, repeating arguments, and property import.
When to Use
- Writing a function with an
arguments block
- Using repeating arguments (
arguments (Repeating))
- Writing a class constructor that accepts name-value arguments
- Migrating from
inputParser or validateattributes
- Reviewing a function signature for implicit conversion pitfalls
- Choosing between class specs,
mustBeA, and validators
When NOT to Use
- Basic MATLAB programming without argument validation
- App building or UI components (use
matlab-building-apps)
- Unit testing (use
matlab-write-test)
- General OOP class design unrelated to argument validation
- Simple
if/error guard clauses for runtime invariants inside a function body
(those aren't input validation — leave them as-is unless the user asks for an
arguments block specifically)
.mlx (Live Script) or .mlapp (App Designer) files — these are binary
ZIP containers. Don't unzip them or attempt structural edits. If the user
asks to add an arguments block to a function inside one, ask them to
export to plain .m first, or open the file in MATLAB and edit it there.
Critical Misconceptions
These are things the agent commonly gets wrong. Read these FIRST.
Size specs RESHAPE, not reject
WRONG belief: (1,:) rejects column vectors with an error.
ACTUAL behavior: MATLAB silently reshapes the input to fit the declared size.
function out = myFunc(x)
arguments
x (1,:) double
end
out = x;
end
myFunc([1; 2; 3]) % Does NOT error! Returns [1 2 3] (reshaped to row)
A column vector [1;2;3] passed to (1,:) becomes a row vector [1 2 3]. To actually reject column vectors, use a validator:
function out = myFunc(x)
arguments
x {mustBeNumeric, mustBeRow}
end
out = x;
end
Class specs CONVERT, not reject
WRONG belief: double in the arguments block rejects non-double inputs.
ACTUAL behavior: MATLAB attempts implicit conversion to the declared class.
function out = myFunc(x)
arguments
x double
end
out = x;
end
myFunc('hello') % Does NOT error! Returns [104 101 108 108 111] (ASCII codes)
myFunc(single(3.14)) % Does NOT error! Returns double(3.14)
To reject without converting, use mustBeA or mustBeFloat:
x {mustBeA(x, "double")} % Rejects single, char, int32, etc.
x {mustBeFloat} % Accepts single OR double, rejects char/int
x {mustBeNumeric} % Accepts any numeric, rejects char/string
Numeric validators don't reject complex values
WRONG belief: mustBeNumeric, mustBeFinite, and mustBeInteger reject
complex inputs like 1+2i.
ACTUAL behavior: Complex values are numeric, finite, and (when their real
and imaginary parts are integer-valued) integer — so 1+2i passes all three
silently. Sizes, indices, counts, and most physical scalars should reject
complex values explicitly:
function H = hilb2(n)
arguments
n (1,1) {mustBeInteger, mustBePositive, mustBeReal}
end
H = 1./((1:n)' + (0:n-1));
end
Add mustBeReal whenever a complex input would be nonsensical for the
function's contract.
Computed defaults see PASSED values, not declared defaults
WRONG belief: Default expressions use the declared default values of earlier arguments.
ACTUAL behavior: Default expressions evaluate using the actual passed values.
function out = myFunc(fs, windowSize)
arguments
fs (1,1) double {mustBePositive}
windowSize (1,1) double {mustBePositive} = round(fs / 10)
end
out = windowSize;
end
myFunc(8000) % windowSize = round(8000/10) = 800 (uses passed fs)
myFunc(8000, 256) % windowSize = 256 (explicitly passed)
This eliminates the need for sentinel values ([]) and post-validation fixup.
~ is a valid placeholder — don't rename it
WRONG belief: A name in the arguments block is mandatory, so a ~
placeholder in the function signature must be renamed to obj/this/etc.
ACTUAL behavior: ~ is valid as an argument-block name (R2019b+). Keep it.
function normalize(~, results)
arguments
~
results (1,:) struct
end
...
end
When a method signature uses ~ to mark an unused input (e.g. an unused
class instance), preserve the ~ in the arguments block:
- No class or size spec on
~ — type specs like (1,1) MetricCalculator
require a name, so adding one forces a rename. Skip the spec entirely.
- No
%#ok<INUSL> / %#ok<INUSA> / %#ok<MANU> pragma — ~ already
tells the lint pass the input is intentionally unused.
- Don't rename
~ to obj to "tighten validation." Renaming reintroduces
the lint warning the original ~ was suppressing, with no contract benefit.
Patterns
Repeating Arguments
Use arguments (Repeating) for functions accepting variable groups of arguments (like plot(x1,y1,x2,y2,...)). Each declared variable becomes a cell array in the function body.
function plotMultiSeries(x, y)
arguments (Repeating)
x (1,:) double {mustBeFinite}
y (1,:) double {mustBeFinite}
end
figure;
hold on;
for i = 1:numel(x)
plot(x{i}, y{i});
end
hold off;
end
Key rules:
- Variables become cell arrays — access with
x{i}, not x(i)
- All variables in the group repeat together (complete sets)
- Repeating arguments cannot have default values
- Zero repetitions is valid (produces empty cell arrays)
Output Argument Validation — arguments (Output) and (Output, Repeating)
R2022b+. Output argument validation is unavailable in earlier releases —
input validation (the bulk of this skill) works from R2019b onward.
Use arguments (Output, Repeating) to declare a function whose output count
scales with nargout. The block must declare exactly one name — MATLAB
rejects multi-name repeating output blocks with
MATLAB:functionValidation:MultipleRepeatingOutputs. To return groups of
related values (e.g. triples), pack them into the single output and have the
caller request N * groupSize outputs.
function out = productTriples()
arguments (Output, Repeating)
out (1,1) double
end
out = cell(1, nargout);
for k = 1:3:nargout
b = rand;
c = rand;
out{k} = b * c;
out{k+1} = b;
out{k+2} = c;
end
end
Caller: [p1, a1, b1, p2, a2, b2] = productTriples();
Key rules:
- One name only —
arguments (Output, Repeating) a; b; c; end errors at parse
- The output is assigned a
1×nargout cell array; comma-list expansion at the
call site distributes its contents across the requested LHS variables
- Validators on the single declared name apply to each cell element
nargout tells the body how many outputs were requested; zero is valid
Composition Rules — What Can Coexist
A function may have multiple arguments blocks. The rules below apply to
the function as a whole — argument categories must appear in this order across
all blocks combined:
required → optional (with defaults) → repeating → name-value
Violating the order at any point — even across separate blocks — fails to
parse. Don't trust intuition: all of these compose legally in one function:
- required + optional + repeating + name-value (
.?ClassName allowed too)
- required + repeating + name-value
- repeating + name-value
(Output, Repeating) plus any combination of input blocks
~ placeholders inside a (Repeating) block
Multiplicity:
| Block kind | How many allowed |
|---|
Plain arguments (positional and/or name-value) | Multiple, in order |
arguments (Repeating) (input) | Exactly one per function |
arguments (Output, Repeating) | Exactly one per function |
| Name-value structs across plain blocks | Multiple — different struct names |
Parse-time error identifiers — when in doubt, write the function and let
MATLAB tell you. These are the only errors composition can produce; the names
spell out the rule:
| Identifier | Means |
|---|
MATLAB:functionValidation:RequiredAfterOptional | A required arg appears after one with a default |
MATLAB:functionValidation:OptionalAfterRepeating | An optional/positional arg appears after the repeating block |
MATLAB:functionValidation:PositionalAfterNamed | A positional or repeating arg appears after a name-value arg |
MATLAB:functionValidation:MultipleRepeatingBlocks | More than one (Repeating) block (input or output) |
MATLAB:functionValidation:RepeatingHasDefault | A (Repeating) arg has a default value |
If you're unsure whether a combination is legal, don't fabricate a
restriction — write a minimal version and run it. The error identifier (or
its absence) is the answer.
Maximal example
A single function with required + optional + ignored + repeating + ignored
repeating + name-value + class-imported name-value (here SensorConfig —
the class defined in the .?ClassName section above):
function maximal(req, opt, ~, x, ~, options, classArg)
arguments
req (1,1) double
opt (1,1) double = 7
~
end
arguments (Repeating)
x (1,1) double
~
end
arguments
options.Title (1,1) string = "default"
options.Verbose (1,1) logical = false
classArg.?SensorConfig
end
% function body
end
Call: maximal(1, 2, 3, 4, 'a', 5, 'b', Title="t", SampleRate=44100) —
parses and runs. SampleRate is one of the name-value args imported from
SensorConfig by the .? line.
Don't pick a class with no public-settable properties for .?ClassName —
onCleanup, for example, has only task (private set), so .?onCleanup
imports zero name-value args. The line is syntactically valid but a no-op,
and any "name-value" the caller writes against it is treated as an unknown
name — see "unknown Name=Value is silently swallowed" in Common Mistakes.
For combining repeating args with name-value options, see the Maximal
example above and references/examples/repeating-args.md.
.?ClassName — Import Properties as Name-Value Args
Use .?ClassName in constructors to derive name-value arguments directly from property definitions. This avoids redeclaring properties in the arguments block.
For additional patterns — overriding specific properties, static factory with forwarding, and wrapping graphics-class properties — see references/examples/dot-question-syntax.md.
classdef SensorConfig
properties
SampleRate (1,1) double {mustBePositive} = 1000
Resolution (1,1) double {mustBePositive, mustBeInteger} = 16
FilterOrder (1,1) double {mustBePositive, mustBeInteger} = 4
Label (1,1) string = "unnamed"
end
methods
function obj = SensorConfig(nvArgs)
arguments
nvArgs.?SensorConfig
end
props = fieldnames(nvArgs);
for i = 1:numel(props)
obj.(props{i}) = nvArgs.(props{i});
end
end
end
end
Benefits:
- No duplication of size, class, validators, or defaults
- Constructor stays in sync when properties are added or removed
- Tab completion shows all settable properties automatically
namedargs2cell — Forward Name-Value Args
Use namedargs2cell to convert a validated struct back to a name-value cell array for forwarding to other functions:
function obj = fromPreset(presetName, nvArgs)
arguments
presetName (1,1) string
nvArgs.?SensorConfig
end
switch presetName
case "audio"
defaults = struct(SampleRate=44100, Resolution=24, Label="audio");
case "vibration"
defaults = struct(SampleRate=10000, Resolution=16, Label="vibration");
end
% Apply overrides
overrides = fieldnames(nvArgs);
for i = 1:numel(overrides)
defaults.(overrides{i}) = nvArgs.(overrides{i});
end
args = namedargs2cell(defaults);
obj = SensorConfig(args{:});
end
Migration Decision Framework
When migrating from inputParser or validateattributes, use this decision tree for class handling:
| Original check | What it does | Arguments block equivalent | Why |
|---|
@isnumeric | Accepts any numeric, no conversion | {mustBeNumeric} | No class spec — avoids conversion |
@ischar | Accepts char only | {mustBeA(label, 'char')} or (1,:) char | mustBeText/mustBeTextScalar widens to accept string |
@islogical | Accepts logical only | (1,1) {mustBeA(x, 'logical')} | A logical class spec CONVERTS — logical(1) → true, so 1/0 (and other convertible scalars) would be accepted where @islogical rejects them. Use mustBeA (no class spec) to reject without converting. |
{'numeric'} | Accepts any numeric, no conversion | {mustBeNumeric} | validateattributes meta-class — same set as @isnumeric |
{'float'} | Accepts single or double | {mustBeFloat} | Equivalent to {'single','double'} |
{'integer'} (class spec, rare) | Accepts only integer types (int8…uint64) | Usually {mustBeNumeric, mustBeInteger}. Strict-only-if-intentional: {mustBeA(x, ["int8","int16","int32","int64","uint8","uint16","uint32","uint64"])} | The class-only form rejects integer-valued doubles like 5.0 — usually accidental. Widen to the lenient pairing unless the original code clearly meant to reject doubles. |
{'numeric'}, {'integer'} (class+attr) | Numeric, integer-valued | {mustBeNumeric, mustBeInteger} | Common pairing — accepts both int types and integer-valued floats |
{'single','double'} | Restricts to float types | {mustBeFloat} |
Key principle: If the original code REJECTS mismatched types, use validators (mustBeA, mustBeFloat, mustBeNumeric). If you WANT automatic conversion for caller convenience, use a class spec.
Anonymous-Function Validators
Don't drop these on migration — each has a built-in equivalent:
inputParser validator | Arguments block equivalent |
|---|
@(x) ~isempty(x) | {mustBeNonempty} |
@(x) x > 0 | {mustBePositive} |
@(x) x >= 0 | {mustBeNonnegative} |
@(x) x < 0 | {mustBeNegative} |
@(x) x <= 0 | {mustBeNonpositive} |
@(x) isfinite(x) | {mustBeFinite} |
@(x) isreal(x) | {mustBeReal} |
@(x) isnumeric(x) && isreal(x) | {mustBeNumeric, mustBeReal} |
@(x) ismember(x, set) | {mustBeMember(x, set)} |
validatestring(x, set) | Don't replace with mustBeMember. validatestring does case-insensitive prefix matching and returns the canonical form; mustBeMember is exact-match only. Keep the call inside the body and use the arguments block only for {mustBeTextScalar}. |
For detailed migration examples, see references/migration-guide.md.
Conventions
- Prefer
string over char for new code (not migrations)
- Never use
varargin with manual parsing when arguments (Repeating) or name-value blocks can express the same interface
- Use
.?ClassName in constructors rather than redeclaring properties
- Prefer computed defaults (
= expression) over sentinel values with isempty checks, when the default depends only on earlier arguments
- Don't combine
mustBeNumeric with a double class spec to reject non-numeric input — the class spec converts char ('A' → 65) before the validator runs, defeating the check. Drop the class spec: x {mustBeNumeric} not x (1,1) double {mustBeNumeric}
- Don't combine text validators with a
string class spec — the class spec converts non-text (e.g., 42 → "42") before the validator runs, defeating the check. Use text validators alone: p {mustBeTextScalar} not p (1,1) string {mustBeTextScalar}
- Never reach for
varargin + manual class() checks to reject types. When a class spec like double would convert (rather than reject) char/single/int input, the right answer is a validator (mustBeNumeric, mustBeFloat, mustBeA), not a fallback to varargin. Falling back to varargin defeats the entire point of the arguments block.
Common Mistakes
| Mistake | Why It's Wrong | Correct Approach |
|---|
Using varargin for repeated arg groups | Requires 30+ lines of manual parsing | arguments (Repeating) — 3 lines |
| Redeclaring properties in constructor | Duplication drifts out of sync | nvArgs.?ClassName |
Believing (1,:) rejects columns | It silently reshapes them | Use mustBeRow to reject |
Believing double rejects char | It silently converts to ASCII before validators run | Drop the double class spec and use {mustBeNumeric} alone, or {mustBeA(x,"double")} for strict class check |
Using [] sentinel for computed defaults | Over-engineered, needs custom validator | = expression referencing earlier args |
Replacing @ischar with mustBeTextScalar | Widens contract to accept strings | Use mustBeA(x,'char') for strict fidelity |
Using (1,1) string {mustBeTextScalar} | Class spec converts 42 → "42" before validator | Use {mustBeTextScalar} alone (no class spec) |
Replacing validatestring with mustBeMember | validatestring does case-insensitive prefix matching ('AU' → 'auto') and returns the canonical form; mustBeMember is exact-match only | Keep validatestring inside the body. Use the arguments block only for the type/size guard: mode {mustBeTextScalar} then mode = validatestring(mode, {...}) |
Omitting mustBeReal for numeric args | Complex values pass mustBeNumeric, mustBeFinite, and mustBeInteger silently — 1+2i is a finite numeric integer | Add whenever a complex input would be nonsensical (indices, sizes, counts, physical scalars) |
Validators Quick Reference
| Validator | Purpose | Note |
|---|
mustBeFloat | Accept single or double only | Rejects int, char |
mustBeA(x, classes) | Strict class check, no conversion | mustBeA(x, ["single","double"]) |
mustBeBetween(x, lo, hi, type) | Range check | R2025a+. Pre-R2025a: use mustBeGreaterThan/mustBeLessThan |
mustBeNonNan | Reject NaN values | Built-in, not custom |
mustBeMatrix | Require 2D (M-by-N) | R2024b+ |
mustBeRow | Require 1-by-N | R2024b+. Rejects columns unlike (1,:) |
mustBeVector | Accept row or column | Flexible orientation |
mustBeSorted | Elements in sorted order | R2026a+ |
For the complete validator reference, see references/validators-reference.md.
Copyright 2026 The MathWorks, Inc.