Add `_meta` for `tools/list` method in MCP Toolbox.
If there are authorized invocation, the following will be return in
`_meta`:
```
{
"name":"my-tool-name",
"description":"my tool description",
"inputSchema":{
"type":"object",
"properties":{
"user_id":{"type":"string","description":"user's name from google login"}
},
"required":["user_id"]
},
"_meta":{
"toolbox/authParam":{"user_id":["my_auth"]}
}
}
```
If there are authenticated parameter, the following will be return in
`_meta`:
```
{
"name":"my-tool-name",
"description":"my tool description",
"inputSchema":{
"type":"object",
"properties":{
"sql":{"type":"string","description":"The sql to execute."}
},
"required":["sql"]
},
"_meta":{
"toolbox/authInvoke":["my_auth"]
}
}
```
If there are no authorized invocation or authenticated prameter, the
`_meta` field will be omitted.
With this feature, the following were updated in the source code:
* In each `func(p CommonParameter) McpManifest()`, we will return a
`[]string` for the list of authenticated parameters. This is similar to
how Manifest() return the list of authNames in non-MCP Toolbox's
manifest.
* The `func(ps Parameters) McpManifest()` will return a
`map[string][]string` that with key as param's name, and value as the
param's auth.
* Added a new function `GetMcpManifest()` in `tools.go`. This function
will consctruct the McpManifest, and add the `Metadata` field.
* Associated tests were added or updated.
## Description
---
This pull request introduces a new tool,
`cloud-sql-postgres-create-instance`, which allows users to create Cloud
SQL PG instances directly from the toolbox. The tool is designed to
simplify the instance creation process by providing sensible defaults
while still offering flexibility for advanced configurations.
__Key Features of the New Tool:__
- __Simplified Instance Creation:__ The tool introduces an
`editionPreset` parameter that can be set to either `"Production"` or
`"Development"`. This allows users to easily create instances with
appropriate settings for their environment without needing to specify
low-level configuration details.
- __Production Preset:__ Configures a high-availability,
performance-optimized instance.
- __Development Preset:__ Configures a cost-effective, general-purpose
instance suitable for testing and development.
## PR Checklist
---
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
This PR introduces the following breaking change: The
`alloydb-pg-generic`, `cloud-sql-pg-generic`, and
`postgres-generic-tool` have been replaced by the `postgres-sql` tool,
which works with all 3 Postgres sources.
If you were using of the the previous tools, you will need to update it
as follows:
```diff
example_tool:
- kind: cloud-sql-pg-generic
+ kind: postgres-sql
source: my-cloud-sql-pg-instance
description: some description
statement: |
SELECT * FROM SQL_STATEMENT;
parameters:
- name: country
type: string
description: some description
```
I'm proposing this change for the following reasons:
1. It provides greater flexibility between postgres-compatible sources
-- you can change between "postgres" and "alloydb-postgres" without
issue
2. The name "postgres-sql" is more clear that "postgres-generic" -- it
indicates it's a tool that runs SQL on the source
3. It's easier for us to maintain feature compatibility across a single
"postgres-sql" tool
Moves all of the "source" and "tool" implementations into their own
packages. This layout makes it a bit more clear where the
implementations are, and seems likely to scale more cleanly as more
sources and tools are added.
