Does your WebMCP actually save time and tokens? Run an ON/OFF experiment
I added a WebMCP benchmark to DeepDeck , my MIT-licensed macOS desktop project built on DeepSeek Harness. The question behind it is simple: does exposing a structured browser tool reduce the time and tokens needed to finish a task correctly? Successful tool registration only proves availability. It doesn't tell you whether the agent used the tool, whether the answer was right, or whether the…
In this experiment, a custom WebMCP tool was added to the MIT-licensed macOS desktop project called DeepDeck. The purpose was to determine whether using a structured browser tool could reduce the time and tokens needed to complete a task correctly. The key steps of the experiment are:
1. Set up a local runner using the DeepDeck source checkout and Node/pnpm setup.
2. Choose a stable, read-only task with a question that can be independently verified.
3. Run the same task with WebMCP enabled and disabled, comparing the results.
4. Analyze the output, which includes final answers, token usage, agent time, and tool calls.
The experiment found that using WebMCP reduced token usage and agent time in some cases. However, it's important to note that the results are preliminary and based on a limited number of runs. Additional experiments with different tasks and models would be needed to draw more definitive conclusions about the benefits of WebMCP.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
