Argument Passed In Is Not Serializable Parameter Name “Value” | Fix And Common Causes

Hitting the message Argument passed in is not serializable. Parameter name: value can stop a script, Azure job, or background task in the middle of real work. The wording feels abstract, yet the impact is direct: something you passed into a call cannot cross the boundary that needs serialization.

This article walks through what the error really means, where it commonly appears, and how to fix it without hacking around the problem. You will see practical patterns that keep your Azure Automation jobs, PowerShell scripts, and .NET code stable when they send data across processes or machines.

What Argument Passed In Is Not Serializable Parameter Name “Value” Means

Serialization turns an in-memory object into a format that can move over the wire, land in storage, or cross an AppDomain or process. Many Azure and .NET features rely on this step under the hood for remoting, logging, and background work.

When you see the string argument passed in is not serializable parameter name “value”, the runtime is complaining about the argument you supplied to a method or cmdlet. Internally that code tried to serialize the value you passed in. The operation failed because the type cannot be serialized with the serializer in use.

The message uses the word value because the failing parameter is often named value inside the underlying method or collection. That can feel vague. The real clue sits in the stack trace and inner exception chain, where you can see which cmdlet, API, or logging call raised the error.

Another piece of the puzzle is the type of serializer involved. Common cases include:

• Binary serializers — Older .NET features that expect a type marked with attributes such as [Serializable] or data contract attributes.
• JSON serializers — Logging or HTTP calls that try to write an object with members the serializer cannot handle.
• PowerShell remoting serializers — Azure cmdlets and runbooks that need to convert rich objects into a simpler form before sending them back.

The runtime throws this error early to stop an invalid object from crossing a boundary in a broken state. Once you know which argument and which serializer are involved, you can tune the value you pass in instead of fighting the message.

Where This Error Shows Up In Azure, PowerShell, And .NET

The text for this error comes from the .NET base class library, so the same wording appears in several products that sit on top of it. The surface area looks wide at first glance, yet the underlying pattern repeats: a non-serializable value gets passed into code that expects a serializable one.

Typical spots where developers run into this message include Azure PowerShell, Azure Automation runbooks, custom background workers, and logging pipelines that capture rich objects.

Here are common contexts where the error shows up:

• Azure PowerShell cmdlets — Calls such as Get-AzVM or Get-AzResource can trigger this warning when telemetry tries to log complex objects or missing resource data.
• Azure Automation runbooks — Runbooks that pass rich objects between activities or out of the job may hit serialization problems that never appear in Cloud Shell.
• Background workers and queues — Hosted services that enqueue work items often serialize payloads, and large object graphs can cause this message.
• Remoting and IPC — Code that uses remote PowerShell sessions or custom remoting channels needs values that survive conversion into a wire format.
• Structured logging — Logging libraries that capture complex state can attempt to serialize nested objects that the serializer cannot handle.

The key observation is that the same script may run fine on a local machine yet fail in Azure Automation or another hosted runner. In those setups, more code runs around your script: telemetry, quotas, and remote sessions all add extra serialization steps. A value that never leaves memory on your desktop may need to cross process or machine boundaries in the hosted case, which exposes the weakness.

Why The Argument Passed In Not Serializable “Value” Error Appears In Azure Jobs

Azure Automation and similar services place more limits on what can be serialized than an interactive session. The platform needs to store job state, stream output, and log telemetry. That means anything you pass into a cmdlet or send back as output may be serialized several times.

In Azure Automation, a pattern seen often is a script that runs cleanly in Cloud Shell or a local console but fails in a runbook. The same Az module calls run, yet a job that touches virtual machines or resources ends with this serialization error. The difference lies in how the session is created and which types the platform is prepared to serialize.

Some recurring causes in Azure jobs include:

• Interactive login in a non-interactive job — Using Connect-AzAccount without a proper account context can leave cmdlets with unexpected objects in their internal state, which then fail during telemetry logging.
• Missing or mismatched Az modules — A runbook that imports one module version while another sits on the worker can create mixed types that the telemetry layer does not expect.
• Passing full Azure resource objects around — Sending entire VM or resource objects between runbook functions, rather than IDs or small DTOs, increases the odds that some nested member refuses to serialize.
• Returning heavy objects as job output — When the job engine tries to persist output, deeply nested objects can trip the serializer.

Azure jobs also collect quality-of-service events around each cmdlet call. Those events often place exception data and property bags into dictionaries, which can trigger the exact wording you see when a non-serializable value is inserted. That means the visible error may come from logging rather than the core resource call, yet the root cause is the same: a value that cannot be serialized cleanly.

Fixing Argument Passed In Is Not Serializable Parameter Name “Value” Step By Step

Solving this error comes down to three questions: which argument caused it, which serializer is in play, and how can you pass a simpler value without losing needed data. Once you break the problem along those lines, fixes become repeatable rather than guesswork.

Start by pinpointing the value that failed. Then reshape that value, or the type behind it, so the serializer can handle it. In some cases you will adjust logging or job boundaries; in others you will modify the class design.

Identify The Failing Argument And Serializer

Before touching any code, gather clear information from the failure. That step saves time later.

• Capture the full exception — Log the outer exception, inner exceptions, stack trace, and any data fields so you know which call triggered the error.
• Check the parameter name — Confirm that the message references value and see which method or cmdlet owns that parameter in the stack trace.
• Note the serializer — Look for types like BinaryFormatter, JSON serializers, or PowerShell remoting types in the trace.

Reshape The Value You Pass In

Once the failing value is clear, pass a simpler shape across the boundary. That often fixes the error without any change to the platform itself.

• Pass IDs instead of full objects — Send resource IDs, names, or small DTOs instead of entire Azure objects or complex graphs.
• Convert to primitive types — Extract strings, numbers, and simple arrays from richer objects before returning them from a job or placing them into a property bag.
• Flatten nested graphs — Build a shallow record with only the fields needed downstream rather than passing nested collections.

Adjust Your Types For Serialization

If you own the class that fails serialization, you can adjust its definition so the serializer accepts it.

• Add proper attributes — Mark types with serialization attributes expected by the serializer your code uses, such as data contract attributes for certain serializers.
• Exclude problem members — Mark properties that hold handles, pointers, or live connections as ignored so they do not take part in serialization.
• Implement custom converters — For JSON pipelines, provide converters that turn complex members into stable string or numeric forms.

Apply Azure Automation And Runbook Fixes

Azure jobs bring their own set of adjustments that help reduce this error in practice.

• Use a managed identity or service principal — Configure authentication that does not rely on interactive prompts so the cmdlets run with a stable account context.
• Align Az module versions — Import module versions that match those installed in the Automation account to avoid mixed types in telemetry.
• Limit runbook output size — Convert heavy objects into small records or strings before writing them to output streams.

If argument passed in is not serializable parameter name “value” still appears after you simplify values, revisit any logging, telemetry, or helper classes that wrap your main call. Those layers can quietly add their own serialization steps that use different rules from your primary data path.

Testing And Preventing This Serialization Error Next Time

Once you have a fix in place, a little extra testing pays off every time you introduce new job types or data shapes. The aim is to catch serialization issues while you still have full debug access, not after a runbook or worker has been deployed to a locked-down runner.

One helpful habit is to add small tests or scripts that call the same APIs your production code uses, but with representative data. Those checks can mimic the way Azure Automation or other hosted jobs serialize output and telemetry.

• Reproduce serialization paths locally — Call the same cmdlets or serializers in a local script with sample objects that match production data.
• Add guard methods for new types — When you introduce a new class that might cross process or machine boundaries, run it through the serializer in an isolated test.
• Log only what you truly need — Resist the urge to send entire object graphs into structured logging; pick fields that help diagnostics without creating serialization strain.
• Watch module and library versions — Keep Az modules and supporting libraries in sync between local setups and hosted jobs to avoid type mismatches.

You can also treat serialization boundaries as part of your design instead of an afterthought. When you design a runbook, worker, or remoting call, decide early which data crosses the boundary and in what shape. Small, self-contained payloads survive version bumps and platform changes with less friction.

With these habits in place, the next time you see Argument Passed In Is Not Serializable Parameter Name “Value” in a stack trace, it becomes a clear signal instead of a confusing blocker. You will know which value to inspect, how to reshape it, and how to prevent similar failures as your system grows.

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