use action verb in documentation (#175)

docs/explanation/agents.md

@@ -1,6 +1,7 @@
 # Agents
 
-Agents use an LLM to determine which tools to call and in what order.
+Agents use an LLM to determine which actions to take and in what order.
+An action can either be using a tool and observing its output, or returning to the user.
 Here are the agents available in LangChain.
 
 For a tutorial on how to load agents, see [here](/getting_started/agents.ipynb).

docs/getting_started/agents.ipynb

@@ -7,9 +7,8 @@
    "source": [
     "# Agents\n",
     "\n",
-    "Agents use an LLM to determine which tools to call and in what order.\n",
-    "\n",
-    "Some applications will require not just a predetermined chain of calls to LLMs/other tools, but potentially an unknown chain that depends on the user input. In these types of chains, there is a \"agent\" (backed by an LLM) which has access to a suite of tools. Depending on the user input, the agent can then decide which, if any, of these tools to call.\n",
+    "Agents use an LLM to determine which actions to take and in what order.\n",
+    "An action can either be using a tool and observing its output, or returning to the user.\n",
     "\n",
     "When used correctly agents can be extremely powerful. The purpose of this notebook is to show you how to easily use agents through the simplest, highest level API. If you want more low level control over various components, check out the documentation for custom agents (coming soon)."
    ]
@@ -25,7 +24,7 @@
     "\n",
     "- Tool: A function that performs a specific duty. This can be things like: Google Search, Database lookup, Python REPL, other chains. The interface for a tool is currently a function that is expected to have a string as an input, with a string as an output.\n",
     "- LLM: The language model powering the agent.\n",
-    "- Agent: The agent to use. This should be a string. Because this notebook focuses on the simplest, highest level API, this only covers using the standard supported agents. If you want to implement a custom agent, see the documentation for custom agents (coming soon).\n",
+    "- Agent: The agent to use. This should be a string that references a support agent class. Because this notebook focuses on the simplest, highest level API, this only covers using the standard supported agents. If you want to implement a custom agent, see the documentation for custom agents (coming soon).\n",
     "\n",
     "**For a list of supported agents and their specifications, see [here](../explanation/agents.md)**"
    ]