diff --git a/examples/agent/README.md b/examples/agent/README.md
index 606ad4c00..c2df9c8f5 100644
--- a/examples/agent/README.md
+++ b/examples/agent/README.md
@@ -108,7 +108,10 @@ The agent can use tools written in Python, or (soon) exposed under OpenAPI endpo
 so we provide a script to run them in a Docker-sandboxed environment, exposed as an OpenAPI server:
 
     ```bash
-    PORT=9999 examples/openai/run_sandboxed_tools.sh \
+    # With limactl, the default sandbox location ~/.llama.cpp/sandbox won't be writable
+    # (see https://github.com/lima-vm/lima/discussions/393)
+    # export DATA_DIR=/tmp/lima/llama.cpp/sandbox
+    PORT=9999 examples/agent/run_sandboxed_tools.sh \
         examples/agent/tools/unsafe_python_tools.py &
 
     python -m examples.agent \
@@ -127,11 +130,11 @@ so we provide a script to run them in a Docker-sandboxed environment, exposed as
 
     </details>
 
-    - [fastify.py](./fastify.py) turns a python module into an OpenAPI endpoint using FastAPI
+    - [fastify.py](./fastify.py) turns a python module into an [OpenAPI](https://www.openapis.org/) endpoint using [FastAPI](https://fastapi.tiangolo.com/)
 
     - [run_sandboxed_tools.sh](./run_sandboxed_tools.sh) builds and runs a Docker environment with fastify inside it, and exposes its port locally
 
-- Beyond just "tools", output format can be constrained using JSON schemas or Pydantic types
+- Beyond just "tools", output format can be constrained using [JSON schemas](https://json-schema.org/) or [Pydantic](https://docs.pydantic.dev/latest/) types
 
     ```bash
     python -m examples.agent \
diff --git a/examples/agent/fastify.py b/examples/agent/fastify.py
index 0cfd5f868..02d475b40 100644
--- a/examples/agent/fastify.py
+++ b/examples/agent/fastify.py
@@ -3,6 +3,7 @@
 
     This is useful in combination w/ the examples/agent/run_sandboxed_tools.sh
 '''
+import os
 import fastapi, uvicorn
 import typer
 from typing import Type, List
@@ -37,6 +38,7 @@ def main(files: List[str], host: str = '0.0.0.0', port: int = 8000):
     for f in files:
         bind_functions(app, load_module(f))
 
+    print(f'INFO:     CWD = {os.getcwd()}')
     uvicorn.run(app, host=host, port=port)
 
 if __name__ == '__main__':
diff --git a/examples/agent/run_sandboxed_tools.sh b/examples/agent/run_sandboxed_tools.sh
index 2fde29568..4f502e12d 100755
--- a/examples/agent/run_sandboxed_tools.sh
+++ b/examples/agent/run_sandboxed_tools.sh
@@ -20,6 +20,8 @@ BUILD_DIR=$(mktemp -d)
 DATA_DIR="${DATA_DIR:-$HOME/.llama.cpp/sandbox}"
 SCRIPT_DIR=$( cd "$(dirname "$0")" ; pwd )
 
+mkdir -p "$DATA_DIR"
+
 REQUIREMENTS_FILE="${REQUIREMENTS_FILE:-}"
 if [[ -z "$REQUIREMENTS_FILE" && -f "$script_folder/requirements.txt" ]]; then
     REQUIREMENTS_FILE="$script_folder/requirements.txt"
@@ -69,6 +71,6 @@ set -x
 docker run \
     "$@" \
     --mount "type=bind,source=$( realpath "$script_folder" ),target=/src,readonly" \
-    --mount "type=bind,source=$( realpath "$DATA_DIR" ),target=/data" \
+    --mount "type=bind,source=$DATA_DIR,target=/data" \
     -p "$PORT:$PORT" \
     -it "$LLAMA_IMAGE_NAME"