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MCP Server for Dynamic Mixture of Agents MoA Layer Skill. Aggregates outputs from Layer N-1 sub-agents, scores pairwise semantic agreement, and constructs synthesized prompt contexts for Layer N aggregators.
Single tool with minimal definition quality. Tool name 'aggregate_proposals' lacks action verb clarity (should be 'synthesize_proposals' or 'aggregate_agent_responses'). Description is present but generic (72 chars, below 100-char minimum for clarity). Input schema exists but lacks parameter descriptions entirely, 'original_query' and 'proposals' have no descriptions explaining what they contain or their constraints. Array items schema is empty object with no structure. No output schema documented. No error handling guidance. Tool does not follow verb_noun pattern clearly and combines multiple concerns (scoring + synthesis + prompt construction).
Synthesize candidate responses across multiple agents into unified aggregator prompt
Missing parameter descriptions in input schema. 'original_query' and 'proposals' parameters have no descriptions explaining their purpose, format, or constraints.
No output schema documented. Tool returns a dict with fields like 'aggregator_prompt', 'consensus_score', 'mean_consensus' but LLM has no visibility into return structure or field types.
Tool description is too generic (72 chars). Does not explain WHEN to use it, what 'synthesize' means in this context, or what the aggregator_prompt is used for downstream.
Input schema for 'proposals' array uses empty object items schema. No structure defined for what each proposal object must contain (agent_id, response fields are inferred from code, not declared).
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 32 | 2026-07-28+ | v2 |
Tool name 'aggregate_proposals' lacks clear action verb. 'Aggregate' is vague, does it merge, score, rank, or synthesize? Verb_noun pattern (e.g., 'synthesize_proposals' or 'aggregate_agent_responses') would be clearer.