add pre-requisites and links to the examples in the repo directly instead of relative links

Author: filintod

daprdocs/content/en/python-sdk-docs/conversation.md

@@ -1,4 +1,3 @@
----
 title: "Conversation API (Python) – Recommended Usage"
 linkTitle: "Conversation"
 weight: 11000
@@ -13,10 +12,18 @@ The Dapr Conversation API is currently in alpha. This page presents the recommen
 - Async variants
 - Important safety notes for executing tool calls
 
+## Prerequisites
+
+- [Dapr CLI]({{% ref install-dapr-cli.md %}}) installed
+- Initialized [Dapr environment]({{% ref install-dapr-selfhost.md %}})
+- [Python 3.9+](https://www.python.org/downloads/) installed
+- [Dapr Python package]({{% ref "python#installation" %}}) installed
+- A configured LLM component (for example, OpenAI or Azure OpenAI) in your Dapr environment
+
 For full, end‑to‑end flows and provider setup, see:
-- The examples in the SDK repo under `examples/conversation/`
-  - `TOOL-CALL-QUICKSTART.md`
-  - `real_llm_providers_example.py`
+- The SDK examples under Conversation:
+  - [TOOL-CALL-QUICKSTART.md](https://github.com/dapr/python-sdk/blob/main/examples/conversation/TOOL-CALL-QUICKSTART.md)
+  - [real_llm_providers_example.py](https://github.com/dapr/python-sdk/blob/main/examples/conversation/real_llm_providers_example.py)
 
 ## Plain conversation (no tools)
 
@@ -47,7 +54,8 @@ Key points:
 
 ## Tools: decorator‑based (recommended)
 
-Decorator-based tools offer a clean, ergonomic approach. Define a function with clear type hints and (optional) docstring; decorate it with `@conversation.tool`. Registered tools can be passed to the LLM and invoked via tool calls.
+Decorator-based tools offer a clean, ergonomic approach. Define a function with clear type hints and detail docstring, this is important for the LLM to understand how or when to invoke the tool; 
+decorate it with `@conversation.tool`. Registered tools can be passed to the LLM and invoked via tool calls.
 
 ```python
 from dapr.clients import DaprClient