SqlServer SQL Analyser false positives in update from into statement

[TSlivede]

Describe the bug

False positives of the T-Sql Analyser in a update ... output into ... from statement, see below.

Where are you seeing this?

• what Dapper/Dapper.StrongName version?
  • <PackageReference Include="Dapper" Version="2.1.35" />
• what Dapper.AOT/Dapper.Advisor version?
  • <PackageReference Include="Dapper.AOT" Version="1.0.31" />
• if relevant: what database backend?
  • Microsoft Sql Server, <PackageReference Include="Microsoft.Data.SqlClient" Version="5.2.2" />

To Reproduce

SqlConnection connection = .....
await connection.ExecuteAsync(@"
declare @t1 table(id int, val int)
declare @t2 table(id int, val int)
declare @t3 table(resultid int)
insert into @t1(id,val) values(1,1)
insert into @t2(id,val) values(1,20)

update t set
	val = 2
output inserted.id into @t3(resultid)
from @t1 t
join @t2 t2 on t.id = t2.id
where t2.val > 10
");

Expected behavior
I expected no warnings, but got three, which at least in my opinion could all be considered false positives:

1. update t set produced warning DAP225 FROM expressions with multiple elements should use aliases

I didn't get this one in my production code, only in this minimal example, but I did update a regular table not a table variable, maybe that is the difference.

2. val = 2 produced warning DAP226 FROM expressions with multiple elements should qualify all columns; it is unclear where 'val' is located

This warning could possibly be considered valid, but I don't think it makes sense, because the update t set already specifies, that only columns of t can be updated...

3. into @t3(resultid) produced warning DAP226 FROM expressions with multiple elements should qualify all columns; it is unclear where 'resultid' is located

This does not make sense, as resultid is not a column of any of the tables in the from clause.

Screenshots

Additional context
I just wanted to mention that I really like the analysers made available by Dapper.AOT, only very few false positives when I switched to AOT and great to find errors in SQL Queries!