chore(oss/js): hide ToolRuntime from js tools docs (#1172)

Author: hntrl

src/oss/langchain/tools.mdx

@@ -146,6 +146,7 @@ Define complex inputs with Pydantic models or JSON schemas:
 **Why this matters:** Tools are most powerful when they can access agent state, runtime context, and long-term memory. This enables tools to make context-aware decisions, personalize responses, and maintain information across conversations.
 </Info>
 
+:::python
 Tools can access runtime information through the `ToolRuntime` parameter, which provides:
 
 - **State** - Mutable data that flows through execution (messages, counters, custom fields)
@@ -163,7 +164,6 @@ Use `ToolRuntime` to access all runtime information in a single parameter. Simpl
 **`ToolRuntime`**: A unified parameter that provides tools access to state, context, store, streaming, config, and tool call ID. This replaces the older pattern of using separate @[`InjectedState`], @[`InjectedStore`], @[`get_runtime`], and @[`InjectedToolCallId`] annotations.
 </Info>
 
-:::python
 **Accessing state:**
 
 Tools can access the current graph state using `ToolRuntime`:
@@ -234,9 +234,9 @@ def update_user_name(
 
 #### Context
 
+:::python
 Access immutable configuration and contextual data like user IDs, session details, or application-specific configuration through `runtime.context`.
 
-:::python
 Tools can access runtime context through `ToolRuntime`:
 
 ```python wrap
@@ -332,9 +332,9 @@ const result = await agent.invoke(
 
 #### Memory (Store)
 
+:::python
 Access persistent data across conversations using the store. The store is accessed via `runtime.store` and allows you to save and retrieve user-specific or application-specific data.
 
-:::python
 Tools can access and update the store through `ToolRuntime`:
 
 ```python wrap expandable
@@ -384,6 +384,8 @@ agent.invoke({
 :::
 
 :::js
+Access persistent data across conversations using the store. The store is accessed via `config.store` and allows you to save and retrieve user-specific or application-specific data.
+
 ```ts wrap expandable
 import * as z from "zod";
 import { createAgent, tool } from "langchain";
@@ -460,9 +462,9 @@ console.log(result);
 
 #### Stream Writer
 
+:::python
 Stream custom updates from tools as they execute using `runtime.stream_writer`. This is useful for providing real-time feedback to users about what a tool is doing.
 
-:::python
 ```python wrap
 from langchain.tools import tool, ToolRuntime
 
@@ -484,6 +486,8 @@ If you use `runtime.stream_writer` inside your tool, the tool must be invoked wi
 :::
 
 :::js
+Stream custom updates from tools as they execute using `config.streamWriter`. This is useful for providing real-time feedback to users about what a tool is doing.
+
 ```ts wrap
 import * as z from "zod";
 import { tool } from "langchain";
@@ -508,4 +512,3 @@ const getWeather = tool(
 );
 ```
 :::
-