High-performance, ergonomic Model Context Protocol (MCP) implementation in Rust
Scoring was not performed
Tool description lacks WHEN/WHY guidance. 'Echo back a message with timestamp and metadata' states WHAT but not WHEN an LLM should call this vs other tools, or what real-world use case it solves.
Parameter description is generic and lacks actionable constraints. 'Message to echo back (max 1000 characters, optional - defaults to 'Hello, World!')' includes metadata but doesn't explain the purpose or expected format of the message content itself.
No output schema documented. Tool description mentions 'timestamp and metadata' but the actual response structure is not shown. LLMs cannot plan downstream operations without knowing what fields are returned.
Tool name 'echo' is vague and generic. Does not start with an action verb pattern. 'echo' is ambiguous, does it echo to console, network, file, or user? Better names: 'send_echo_message' or 'get_echo_response' with clear intent.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-21 | F | 28 | 2025-06-18+ | v2 |
| 2026-03-09 | D | 52 | 2025-06-18+ | v1 |
No error handling guidance provided. The tool description does not explain what happens on failure, whether errors are retryable, or how the LLM should recover if the message exceeds 1000 chars or contains invalid input.