docs: Tool docs improvements (#2259)

* docs: add Qdrant vector search tool documentation

* Update installation docs to use uv and improve quickstart guide

* docs: improve installation instructions and add structured outputs video

* Update tool documentation with agent integration examples and consistent formatting

docs/tools/linkupsearchtool.mdx

@@ -0,0 +1,112 @@
+---
+title: Linkup Search Tool
+description: The `LinkupSearchTool` enables querying the Linkup API for contextual information.
+icon: link
+---
+
+# `LinkupSearchTool`
+
+## Description
+
+The `LinkupSearchTool` provides the ability to query the Linkup API for contextual information and retrieve structured results. This tool is ideal for enriching workflows with up-to-date and reliable information from Linkup, allowing agents to access relevant data during their tasks.
+
+## Installation
+
+To use this tool, you need to install the Linkup SDK:
+
+```shell
+uv add linkup-sdk
+```
+
+## Steps to Get Started
+
+To effectively use the `LinkupSearchTool`, follow these steps:
+
+1. **API Key**: Obtain a Linkup API key.
+2. **Environment Setup**: Set up your environment with the API key.
+3. **Install SDK**: Install the Linkup SDK using the command above.
+
+## Example
+
+The following example demonstrates how to initialize the tool and use it in an agent:
+
+```python Code
+from crewai_tools import LinkupSearchTool
+from crewai import Agent
+import os
+
+# Initialize the tool with your API key
+linkup_tool = LinkupSearchTool(api_key=os.getenv("LINKUP_API_KEY"))
+
+# Define an agent that uses the tool
+@agent
+def researcher(self) -> Agent:
+    '''
+    This agent uses the LinkupSearchTool to retrieve contextual information
+    from the Linkup API.
+    '''
+    return Agent(
+        config=self.agents_config["researcher"],
+        tools=[linkup_tool]
+    )
+```
+
+## Parameters
+
+The `LinkupSearchTool` accepts the following parameters:
+
+### Constructor Parameters
+- **api_key**: Required. Your Linkup API key.
+
+### Run Parameters
+- **query**: Required. The search term or phrase.
+- **depth**: Optional. The search depth. Default is "standard".
+- **output_type**: Optional. The type of output. Default is "searchResults".
+
+## Advanced Usage
+
+You can customize the search parameters for more specific results:
+
+```python Code
+# Perform a search with custom parameters
+results = linkup_tool.run(
+    query="Women Nobel Prize Physics",
+    depth="deep",
+    output_type="searchResults"
+)
+```
+
+## Return Format
+
+The tool returns results in the following format:
+
+```json
+{
+  "success": true,
+  "results": [
+    {
+      "name": "Result Title",
+      "url": "https://example.com/result",
+      "content": "Content of the result..."
+    },
+    // Additional results...
+  ]
+}
+```
+
+If an error occurs, the response will be:
+
+```json
+{
+  "success": false,
+  "error": "Error message"
+}
+```
+
+## Error Handling
+
+The tool gracefully handles API errors and provides structured feedback. If the API request fails, the tool will return a dictionary with `success: false` and an error message.
+
+## Conclusion
+
+The `LinkupSearchTool` provides a seamless way to integrate Linkup's contextual information retrieval capabilities into your CrewAI agents. By leveraging this tool, agents can access relevant and up-to-date information to enhance their decision-making and task execution.