Log MCPServer handler exceptions by kind and keep crash details off the wire (#3314)

Co-authored-by: Marcelo Trylesinski <marcelotryle@gmail.com>
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# Handling errors
A tool can fail in two ways, and the SDK treats them very differently.
A tool can fail in three ways, and the SDK treats each differently.
Raise an ordinary exception and the **model** sees it. Raise `MCPError` and the **protocol** sees it.
Raise `ToolError` and the **model** sees your message. Raise `MCPError` and the **protocol** sees it. Raise anything else and it is a crash: the model learns only that the call failed, and your log gets the traceback.
This page is about choosing.
@ -10,11 +10,11 @@ This page is about choosing.
Take a tool that looks something up, and let the lookup miss:
```python title="server.py" hl_lines="11-12"
```python title="server.py" hl_lines="2 12-13"
--8<-- "docs_src/handling_errors/tutorial001.py"
```
There is nothing MCP about those two lines. `get_author` raises a plain `ValueError`, the way any Python function would.
`ToolError`, from `mcp.server.mcpserver.exceptions`, is how a tool tells the model that something went wrong.
Call it with a title that isn't in the catalog and look at the result:
@ -25,13 +25,15 @@ result.structured_content # None
```
* The request **succeeded**. There is a result; nothing was raised at the caller.
* `is_error` is `True`, and your exception's message (prefixed with the tool name) is in `content`, exactly where the model reads.
* `is_error` is `True`, and your message (prefixed with the tool name) is in `content`, exactly where the model reads.
* `structured_content` is `None`. A failed call has no return value to structure.
This is a **tool error**, and it is the default for *any* exception your tool raises. It is also almost always what you want.
This is a **tool error**, and it is almost always what you want.
The model is the one calling your tool. It picked the arguments. So a tool error is a turn in the conversation: the model reads *"No book titled 'Nothing' in the catalog."*, realises it guessed the title wrong, and calls again with a better one. You wrote one `raise` and got a self-correcting agent.
On the server, a `ToolError` is one `INFO` line in the log, with no traceback. You saw it coming, so there is nothing to investigate.
!!! tip
Never `return` an error message from a tool. A returned string has `is_error=False`, so to the
model (and to every client UI) it looks like the tool worked and that string was the answer.
@ -39,7 +41,7 @@ The model is the one calling your tool. It picked the arguments. So a tool error
## An error the model cannot fix
Now swap `ValueError` for `MCPError`.
Now swap `ToolError` for `MCPError`.
```python title="server.py" hl_lines="1 3 14"
--8<-- "docs_src/handling_errors/tutorial002.py"
@ -72,10 +74,10 @@ Now swap `ValueError` for `MCPError`.
The two paths answer two different questions.
* **Raise any exception** for a failure of *execution*: the thing your tool tried to do didn't work. The model chose the call, so the model should see the consequence and get a chance to recover. A misspelled title, an upstream API that timed out, a row that doesn't exist: all tool errors.
* **Raise `ToolError`** for a failure of *execution*: the thing your tool tried to do didn't work. The model chose the call, so the model should see the consequence and get a chance to recover. A misspelled title, an upstream API that timed out, a row that doesn't exist: all tool errors.
* **Raise `MCPError`** when the *request itself* should be rejected: the client is missing a capability your tool depends on, the server isn't in a state to serve anyone, the caller skipped a required step. No retry from the model fixes any of those, so there is nothing to gain from handing it the message.
One question decides it: **could a smarter model have avoided this?** Yes -> ordinary exception. No -> `MCPError`.
One question decides it: **could a smarter model have avoided this?** Yes -> `ToolError`. No -> `MCPError`.
By that test, the second version of `get_author` made the wrong choice: a better title fixes it, so the model deserved to see the message. It's there to show you the mechanism, not to recommend it.
@ -84,6 +86,25 @@ By that test, the second version of `get_author` made the wrong choice: a better
`data` payload. Whatever you put in them is what the client receives: the SDK forwards a raised
`MCPError` verbatim instead of sanitising it.
## Any other exception
Now take the check out and let the dictionary lookup fail on its own:
```python title="server.py" hl_lines="11"
--8<-- "docs_src/handling_errors/tutorial004.py"
```
`CATALOG[title]` raises `KeyError`. You didn't plan for it, so the SDK treats it as a crash:
```python
result.is_error # True
result.content # [TextContent(text="Error executing tool get_author")]
```
The call still returns `is_error=True`, so the model knows it failed and can move on. What it doesn't get is the exception's text: a `KeyError` from your code, or a stack of SQL from a driver three libraries down, may describe your server's internals, so it never leaves the server.
You get it instead. The server logs the crash at `ERROR` with the full traceback, as `Tool 'get_author' raised an unexpected exception`. A production log at `WARNING` therefore stays quiet through every `ToolError` and speaks up the moment something is actually broken.
## A resource that doesn't exist
Resources draw the same line, and ship one named exception for the common case.
@ -104,7 +125,7 @@ When it can't, raise `ResourceNotFoundError`. The SDK turns it into the protocol
}
```
Notice there is no `is_error=True` half-result here. A resource read either returns contents or fails: resources have only the protocol path. Templates and everything else about resources live in **[Resources](resources.md)**.
Notice there is no `is_error=True` half-result here. A resource read either returns contents or fails: resources have only the protocol path. `ResourceError` is the same thing for a failure that isn't "not found" (`-32603`, your message), and both are one `INFO` line in your log. Any other exception bar `MCPError` is a crash: the client gets `-32603` naming only the URI, and the traceback goes to your log at `ERROR`. Templates and everything else about resources live in **[Resources](resources.md)**.
## Errors you never raise
@ -115,19 +136,21 @@ Send `get_author` a `title` that isn't a string and the SDK rejects it against t
It means a whole class of `raise` statements you don't write: don't re-validate your own type hints.
!!! info
Everything on this page is what a **client** sees, and the in-memory `Client` you'll write
tests with sees exactly the same thing. Even `raise_exceptions=True` doesn't turn a tool error
back into a traceback: by the time that flag could act, your exception is already the
`is_error=True` result. Assert on the result. **[Testing](../get-started/testing.md)** covers the pattern.
Everything a **client** sees on this page, the in-memory `Client` you'll write tests with
sees too. Even `raise_exceptions=True` doesn't hand a failing
tool's exception back to the caller: by the time that flag could act, your exception is already
the `is_error=True` result. Assert on the result. If you need the traceback of a crash, it is in
the server's log, and pytest's `caplog` captures it. **[Testing](../get-started/testing.md)** covers the pattern.
## Recap
* Raise **any exception** in a tool -> the call returns `is_error=True` with your message in `content`. The model reads it and can retry. This is the default.
* Raise **`ToolError`** in a tool -> the call returns `is_error=True` with your message in `content`. The model reads it and can retry.
* Raise **`MCPError`** -> the call itself fails with a JSON-RPC error. The model sees nothing; the host deals with it. `code`, `message`, and `data` survive intact.
* The deciding question: *could a smarter model have avoided this?* Yes -> exception. No -> `MCPError`.
* The deciding question: *could a smarter model have avoided this?* Yes -> `ToolError`. No -> `MCPError`.
* Any **other exception** is a crash -> `is_error=True` with only `Error executing tool <name>` for the model, and an `ERROR` record with the traceback for you.
* `ResourceNotFoundError` from a resource handler -> the protocol's `-32602`, with the URI in `data`.
* Bad arguments are rejected against the schema before your function runs; you don't `raise` for those.
* `from mcp import MCPError`; the error-code constants come from `mcp.types`.
* Imports: `from mcp import MCPError`, `from mcp.server.mcpserver.exceptions import ToolError, ResourceError, ResourceNotFoundError`, and the error-code constants from `mcp.types`.
Errors handled. That is everything a server *exposes*. What every handler can read, and do back to the client while it runs, is the next section: **[Inside your handler](../handlers/index.md)**.