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The Universal System for AI Agent Collaboration - Connect any AI agent to every other agent. A bridge for agents with Model Context Protocol capabilities to participate in Multi-agent Collaboration Networks.
This server has severe definition quality issues. Only 1 tool is defined (query_knowledge_base), with a minimal schema and generic description. The input schema is present but lacks proper parameter validation. The description is short (52 chars) and does not explain WHEN to use the tool, WHAT it returns, or any prerequisites. No output schema is documented. The tool lacks error handling guidance, does not describe the knowledge base structure, and does not indicate what types of queries are supported or what format results will take. Per the hard rules, descriptions under 20 chars score 0-20; this one at 52 chars gets partial credit but is still well below production baseline (194 chars average). No input validation constraints are documented despite being critical for LLM usage.
Query the knowledge base of the agent
Insufficient tool description. Current: 'Query the knowledge base of the agent' (52 chars). Does not explain: what the knowledge base contains, what types of queries it accepts, what result format is returned, when to use this vs other tools, or prerequisites. Baseline is 194 chars average for production tools.
No output schema documented. LLMs cannot determine what fields to expect from the response, making downstream tool chaining impossible and forcing agents to guess at result structure.
Input parameter 'query' lacks constraints. No enum values, no regex pattern, no length limits, no format specification. LLMs have no guidance on what constitutes a valid query.
No error handling guidance. Tool does not document what happens if the query is malformed, if the knowledge base is unavailable, or if no results are found. No recovery hints for LLMs.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 47 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 45 | - | v1 |
No pagination or result limiting documented. If the knowledge base returns large result sets, LLMs have no guidance on pagination parameters (page, offset, limit) or result counts, risking context window exhaustion.
Parameter description too generic. 'The query to search for' does not specify: format (natural language, structured syntax, regex), length limits, prohibited characters, example valid queries, or domain-specific conventions.