openai · Wania-Kazmi · May 15, 2025 · May 15, 2025 · May 25, 2025
diff --git a/docs/guardrails.md b/docs/guardrails.md
@@ -17,19 +17,19 @@ Input guardrails run in 3 steps:
 
 !!! Note
 
-    Input guardrails are intended to run on user input, so an agent's guardrails only run if the agent is the *first* agent. You might wonder, why is the `guardrails` property on the agent instead of passed to `Runner.run`? It's because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability.
+    Input guardrails are intended to run on user input, so an agent's guardrails only run if the agent is the *first* agent. **In a sequence or chain of agents, the 'first agent' is the entry point – the agent that directly receives the initial user's input. Therefore, input guardrails only check this agent’s input.** You might wonder, why is the `guardrails` property on the agent instead of passed to `Runner.run`? It's because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability.
 
 ## Output guardrails
 
 Output guardrails run in 3 steps:
 
-1. First, the guardrail receives the same input passed to the agent.
+1. First, the guardrail receives the same output produced by the agent.
 2. Next, the guardrail function runs to produce a [`GuardrailFunctionOutput`][agents.guardrail.GuardrailFunctionOutput], which is then wrapped in an [`OutputGuardrailResult`][agents.guardrail.OutputGuardrailResult]
 3. Finally, we check if [`.tripwire_triggered`][agents.guardrail.GuardrailFunctionOutput.tripwire_triggered] is true. If true, an [`OutputGuardrailTripwireTriggered`][agents.exceptions.OutputGuardrailTripwireTriggered] exception is raised, so you can appropriately respond to the user or handle the exception.
 
 !!! Note
 
-    Output guardrails are intended to run on the final agent output, so an agent's guardrails only run if the agent is the *last* agent. Similar to the input guardrails, we do this because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability.
+    Output guardrails are intended to run on the final agent output, so an agent's guardrails only run if the agent is the *last* agent. **In a sequence or chain of agents, the 'last agent' is the one that produces the final output returned to the user. Therefore, output guardrails only check this agent’s output.** Similar to the input guardrails, we do this because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability.
 
 ## Tripwires
 

diff --git a/docs/index.md b/docs/index.md
@@ -20,7 +20,7 @@ Here are the main features of the SDK:
 -   Agent loop: Built-in agent loop that handles calling tools, sending results to the LLM, and looping until the LLM is done.
 -   Python-first: Use built-in language features to orchestrate and chain agents, rather than needing to learn new abstractions.
 -   Handoffs: A powerful feature to coordinate and delegate between multiple agents.
--   Guardrails: Run input validations and checks in parallel to your agents, breaking early if the checks fail.
+-   Guardrails: Run input and output validations and checks in parallel to your agents, breaking early if the checks fail.
 -   Function tools: Turn any Python function into a tool, with automatic schema generation and Pydantic-powered validation.
 -   Tracing: Built-in tracing that lets you visualize, debug and monitor your workflows, as well as use the OpenAI suite of evaluation, fine-tuning and distillation tools.