MS-Eval: Evaluating Sub-Agent Delegation in MCP-Intensive Scenarios
In brief
- MS-Eval evaluates specialized agent delegation via MCP for complex tasks.
- Sub-agent specialization boosts performance and efficiency for open-source models.
- Closed models face higher costs and performance drops with this approach.
MS-Eval introduces a framework to assess agent delegation and orchestration in complex tasks using the MCP protocol. The study compares four delegation variants and eight AI models, showing performance and efficiency gains for open-source models, but increased costs and degraded results for closed models.
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