Embed FlowBench agent run instructions in README

README.md

@@ -82,7 +82,26 @@ runtime and expose its functions as the tool API. When running with Harbor, the
 task container already places the same tool file at `/app/flowbench_tools.py`.
 Agents should solve tasks by calling the provided tools; the public release does
 not ship gold answers or a strict answer checker.
-See `RUN.md` for the recommended public harness contract and prediction format.
+
+## Running an Agent
+
+For public agent evaluation, give the agent one task record from
+`data/test.jsonl`, expose only the functions listed in
+`tools/flowbench_tools.py::TOOLS`, and ask the agent to return only the final
+answer in the record's `answer_format`. The task record supplies the question
+and parameters; the tool module is the data source and builds all tables
+deterministically at import time.
+
+Recommended public prediction format:
+
+```json
+{"task_id": "v3_depth1_currency_lookup_t0", "answer": "USD", "model": "your-model-name"}
+```
+
+`RUN.md` has a fuller harness contract, adapter skeleton, prompt template, and a
+worked tool plan for a depth-6 task. The public split has no labels, so
+predictions from this repository alone are for inspection, integration testing,
+or private scoring; do not report them as official FlowBench scores.
 
 ## Running the Harbor Smoke Pack