Affordance examples previously carried a title plus a structured input
object mirroring the inputSchema. Replace that with a description plus a
command string holding a ready-to-run lark-cli invocation, which is what
an AI agent driving the CLI actually consumes.
No affordance data exists in the registry yet, so this only reshapes the
consuming AffordanceCase type and its tests; the data pipeline
(registry-config.yaml -> gen-registry.py -> meta_data.json) forwards the
new keys verbatim.
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