Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and a minimal description, this is inadequate. While the zero parameters reduce complexity, the description fails to explain what the tool returns, what Kubernetes resources it interacts with, or any behavioral characteristics. The agent would need to guess based on the name pattern alone, which is insufficient for reliable tool selection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.