docs: output parser nits (langchain-ai#16588)

Author: baskaryan

docs/docs/modules/model_io/output_parsers/index.mdx

@@ -33,7 +33,6 @@ LangChain has lots of different types of output parsers. This is a list of outpu
 | Name            | Supports Streaming | Has Format Instructions       | Calls LLM | Input Type                       | Output Type          | Description                                                                                                                                                                                                                                              |
 |-----------------|--------------------|-------------------------------|-----------|----------------------------------|----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 | [OpenAITools](./types/openai_tools) |                   | (Passes `tools` to model) |           | `Message` (with `tool_choice`) | JSON object          | Uses latest OpenAI function calling args `tools` and `tool_choice` to structure the return output. If you are using a model that supports function calling, this is generally the most reliable method.                                                                                        |
-
 | [OpenAIFunctions](./types/openai_functions) | ✅                  | (Passes `functions` to model) |           | `Message` (with `function_call`) | JSON object          | Uses legacy OpenAI function calling args `functions` and `function_call` to structure the return output.                                                                                        |
 | [JSON](./types/json)            | ✅                  | ✅                             |           | `str \| Message`                 | JSON object          | Returns a JSON object as specified. You can specify a Pydantic model and it will return JSON for that model. Probably the most reliable output parser for getting structured data that does NOT use function calling.                                    |
 | [XML](./types/xml)            | ✅                  | ✅                             |           | `str \| Message`                 | `dict`               | Returns a dictionary of tags. Use when XML output is needed. Use with models that are good at writing XML (like Anthropic's).                                                                                                                            |

docs/docs/modules/model_io/output_parsers/types/openai_tools.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# OpenAI Tools\n",
     "\n",
-    "These output parsers extract tool calls from OpenAI's function calling API responses. This means they are only usable with models that support function calling, and specifically the latest `tools` and `tool_choice` parameters. We recommend familiarizing yourself with [function calling](/docs/modules/model_io/chat/function_calling) before reading this gu\n",
+    "These output parsers extract tool calls from OpenAI's function calling API responses. This means they are only usable with models that support function calling, and specifically the latest `tools` and `tool_choice` parameters. We recommend familiarizing yourself with [function calling](/docs/modules/model_io/chat/function_calling) before reading this guide.\n",
     "\n",
     "There are a few different variants of output parsers:\n",
     "\n",