Multi-Agent System with agno, a2a-sdk and MCP integration for intelligent text processing through specialized agents and services
AgnoAgent has 8 tools with basic schemas and descriptions, but significant quality gaps. All tools have descriptions (10-100 chars, mostly adequate), and input schemas are present with type definitions. However, parameter descriptions are sparse or missing context. No output schemas documented. Error handling is absent, tools provide no recovery guidance. Tool naming is reasonable (verb_noun pattern: search, get_current_time, correct_text, optimize_text, enhance_query, analyze_sentiment, coordinate_request) but descriptions lack WHEN/WHY context. The coordinate_request tool is a catch-all orchestrator that violates single-responsibility principle. No tool declares permissions, audit trails, or idempotency guarantees. Parameter constraints (e.g., valid tonality values, timezone format) are mentioned in descriptions but not formalized as enums or patterns.
Sentiment analysis of German text with detailed emotion detection
Central coordination of multi-agent requests with automatic agent/service routing
Professional German grammar correction
Query refinement and enhancement for improved search results
Get current time with timezone support
Extract and analyze website content
Text optimization with tonality adjustment using LLM few-shot prompting
coordinate_request violates single-responsibility principle, it accepts optional agent_type, service_type, and a catch-all parameters object. This is a god-tool that routes to multiple agents/services, making it ambiguous when to call it vs. specific tools. LLMs will struggle to choose between search + coordinate_request.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields. E.g., search returns results but structure is unknown; get_page_info returns 'website content' but field names are opaque.
Parameter constraints not formalized as enums or patterns. E.g., tonality accepts 'freundlich, locker, direkt, sachlich, professionell, begeistert' but is defined as free-form string. Language defaults to 'de' but valid values are not enumerated. LLMs will hallucinate invalid values.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 48 | <=2025-11-25 | v2 |
Web search service using DuckDuckGo
No error handling or recovery guidance. Tools provide no indication of what to do if a call fails (e.g., 'timezone not found', 'URL unreachable', 'sentiment analysis failed'). LLMs have no recovery path.
No permission declarations, audit trails, or idempotency hints. Tools do not declare what scopes they require (e.g., 'read:web', 'write:text'). No indication whether tools are safe to retry or have side effects.