Loading ToolBench
14 tools with explicit schemas and basic descriptions, but significant gaps in parameter documentation and output schema clarity. All tools have names starting with action verbs (get_, sync_, query_) and descriptions 20+ chars. However, 13 of 14 tools lack parameter descriptions entirely, LLMs cannot infer what 'data_types', 'sample_type', 'metrics' mean without explicit guidance. Output schemas are not documented anywhere in the code. No error handling guidance. Tool composition is reasonable (single responsibility), but parameter naming inconsistencies (e.g., 'start_date'/'end_date' strings vs ISO format unspecified) and missing constraints on date formats create ambiguity. Baseline: 194 chars avg description (these average ~25 chars); 72 chars avg param annotation (these have ~0 chars).
Check connection status
Get daily activity summary
Get data coverage
Get user profile information
Get background synchronization status
Query abnormal heart beat events
Query body measurements
Missing parameter descriptions on 13/14 tools. Parameters like 'data_types', 'sample_type', 'metrics', 'granularity', 'aggregation' have no descriptions. LLMs cannot infer meaning from names alone (e.g., is 'sample_type' a filter or a return format?). Baseline: 100% of A+ tools have param descriptions.
No output schema documentation. Tools return QueryResponse or sync status, but the response structure is not documented in tool definitions. LLMs cannot plan downstream calls or extract required fields (e.g., does query_heart_rate return 'heart_rate' or 'hr' or 'bpm'?). Baseline: 100% of A+ tools document return types.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 58 | 2026-07-28+ | v2 |
Query heart rate samples
Query metric series
Query sleep sessions
Query blood oxygen saturation samples
Query stress samples
Query workouts
Synchronize Mi Fitness data
Date parameter format unspecified. 'start_date' and 'end_date' are strings with no format constraint (ISO 8601? Unix timestamp? Natural language?). LLMs frequently miscalculate date conversions; explicit format guidance prevents errors. Baseline: format declarations prevent hallucinated values.
No error handling guidance. No documentation of what errors can occur, whether they are retryable, or what the LLM should do next. E.g., sync_data may fail if auth is invalid, but no recovery path is documented. Baseline: A+ tools include recovery guidance.
No pagination or result limits documented. query_* tools may return hundreds of records (e.g., heart rate samples over a month). No mention of limit, offset, or pagination in descriptions. LLMs cannot reason about result size or plan for context window exhaustion.