Single tool 'get_approval_history' has a reasonable name starting with verb 'get_', and a description of 71 characters explaining what it does. However, the input schema is minimal: only two parameters (limit, beforeSeq) with basic type info ('unsigned int', 'string') but no formal JSON Schema structure visible in the source. The description lacks WHEN to use this tool, what it returns, or how pagination works. No output schema is documented. The tool appears to be a read-only approval history retrieval, but critical details about response structure, field names, and error cases are absent. This is a minimal, underdocumented tool that would require LLM guessing about output format and chaining behavior.

• Document the complete output schema as JSON Schema. Example: { type: 'object', properties: { records: { type: 'array', items: { type: 'object', properties: { seq: { type: 'string' }, timestamp: { type: 'string', format: 'date-time' }, status: { type: 'string' } } } }, total: { type: 'integer' }, next_cursor: { type: 'string' } } }
• Expand description to 100-150 chars explaining: 'Retrieves approval history from the device with optional pagination. Use beforeSeq to fetch older records. Returns up to 4 records per call with a next_cursor for pagination.'
• Add parameter constraints: limit as { type: 'integer', minimum: 1, maximum: 4, default: 4 } and beforeSeq as { type: 'string', description: 'Cursor from previous response next_cursor field. Omit to fetch most recent records.' }
• Document error cases: 'If beforeSeq is invalid, returns error with available cursors. If device is offline, returns timeout error, retry after 5 seconds.'
• Add response field descriptions so LLM knows what each field means and can chain to other tools. E.g., if records contain user_id, document that field so the LLM can pass it to other user-related tools.