MCP server for Gaggimate espresso machine profile management and history
The server defines 6 tools with reasonable naming conventions (verb-first, mostly clear intent). All tools have descriptions and input schemas are partially present. However, there are significant gaps: parameter descriptions are minimal or missing, output schemas are not documented, error handling is absent from tool definitions, and no guidance on recovery paths. Tool names follow verb_noun convention (get_*, create_*) which is positive. The create_ai_profile tool has the most detailed schema with nested phase objects, but even this lacks comprehensive documentation of output structure and error cases. Descriptions are adequate (ranging 30-90 chars) but lack clarity on when to use each tool vs. similar ones, what fields are returned, and what errors might occur.
Create or update an AI-generated espresso profile in Gaggimate
Fetch detailed profile information by profile ID
Fetch list of available espresso profiles from Gaggimate machine
Fetch detailed analysis of a specific espresso shot including pressure, temperature, and flow curves
Fetch shot history from Gaggimate machine, optionally filtered by profile
Fetch notes and metadata for a specific espresso shot
Output schemas not documented. No tool describes what fields are returned, their types, or structure. LLMs cannot plan downstream chaining or extract data reliably.
Minimal parameter descriptions. Parameters like 'profile_id', 'shot_id', 'limit', and 'include_full_curve' have sparse or missing guidance on format, constraints, valid ranges, or defaults. LLMs cannot infer what values are valid.
No error handling or recovery guidance. Tools do not specify what errors can occur (timeout, not found, permission denied) or how to recover. No actionable error messages defined.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 46 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 17 | - | v1 |
Pagination not documented for list-returning tools. get_shot_history accepts 'limit' but no description of offset/cursor behavior, max limits, or what happens when results exceed limit.
Idempotency not declared. create_ai_profile mutates state but does not indicate whether repeated calls with same params return same result or create duplicates. Agents retry on ambiguous failure.
No documentation of prerequisite or dependency relationships between tools. E.g., get_shot_details requires a valid shot_id from get_shot_history, but this chain is not documented.