Update sources/platform/integrations/ai/mcp.md

Co-authored-by: Michał Olender <[email protected]>

Author: MQ37

sources/platform/integrations/ai/mcp.md

@@ -282,9 +282,9 @@ This dynamic discovery means your AI can adapt to new tasks without manual confi
 | `add-actor` | experimental |  | Add an Actor as a new tool for the user to call |
 | `get-actor-output`* | - | Retrieve the output from an Actor call which is not included in the output preview of the Actor tool. | ✅ |
 
-:::note
+:::note Retrieving full output
 
-The `get-actor-output` tool is automatically included with any Actor-related tool, such as `call-actor`, `add-actor`, or any specific Actor tool like `apify-slash-rag-web-browser`. When you call an Actor - either through the `call-actor` tool or directly via an Actor tool (e.g., `apify-slash-rag-web-browser`) - you receive a preview of the output. The preview depends on the Actor's output format and length; for some Actors and runs, it may include the entire output, while for others, only a limited version is returned to avoid overwhelming the LLM. To retrieve the full output of an Actor run, use the `get-actor-output` tool (supports limit, offset, and field filtering) with the `datasetId` provided by the Actor call.
+The `get-actor-output` tool is automatically included with any Actor-related tool, such as `call-actor`, `add-actor`, or specific Actor tools like `apify-slash-rag-web-browser`. When you call an Actor, you receive an output preview. Depending on the output format and length, the preview may contain the complete output or only a limited version to avoid overwhelming the LLM. To retrieve the full output, use the `get-actor-output` tool with the `datasetId` from the Actor call. This tool supports limit, offset, and field filtering.
 
 :::