A composition framework for MCP (Model Context Protocol) servers that enables aggregating multiple MCP servers into a single unified endpoint with authentication, observability, and transport flexibility
Scoring was not performed
Tool descriptions are uniformly 10-50 characters, well below the 50-200 character LLM-optimized baseline. Descriptions like 'Add two numbers together' lack WHEN/WHY context, dependency hints, or prerequisites.
No output schemas are documented. LLMs cannot plan downstream tool calls or extract needed fields when return types are undisclosed. E.g., count_words likely returns an integer, but this is not documented.
Parameter descriptions are minimal and generic. 'First number', 'Second number', 'Message to echo back' do not explain constraints, formats, or valid ranges. No format specifications like 'floating-point number between -1e6 and 1e6' are present.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-21 | F | 34 | <=2025-11-25 | v2 |
| 2026-03-09 | C | 69 | 1.2.1+ | v1 |
No error handling guidance is documented. E.g., divide by zero could occur, but the tool definition does not document what error response the LLM should expect or how to recover.
Tool names 'uppercase' and 'lowercase' use bare adjectives rather than verb_noun convention. Better names would be 'convert_to_uppercase' and 'convert_to_lowercase' to match LLM intent inference patterns.