What data for this category looks like
Small home appliance data primarily comes from official brand product manuals, national mandatory certification databases, e-commerce platform product detail pages, and supply chain BOM files. The update rhythm aligns with new product launches, parameter changes, or regulatory requirements, with no fixed cycle. The document structure is split into two parts: a structured parameter dataset containing fields such as product model, brand, rated voltage (V), rated power (W), net weight (kg), external dimensions (mm), energy efficiency rating, and certification number; and unstructured compliance certification documents and instruction manuals.
Constraints imposed on tool calling and plugins by these data characteristics
Small home appliance data characteristics impose three core constraints on tool calling and plugins: First, parameters have no fixed update cycle. Plugins must support dynamically pulling the latest data sources to avoid returning expired certification or parameter information. Second, the data includes structured parameters and multi-format unstructured documents. Tools must adapt to multiple parsing formats including PDF, web pages, and CSV, and accurately distinguish between parameter fields and explanatory text. Third, field units are diverse (V, W, kg, mm, etc.). Tools must include built-in unified unit conversion logic to ensure consistent units in returned values and meet the formatting requirements of due diligence reports.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MCP_SYNC_CRON | 0 0/12 * * * | Small home appliance parameter updates have no fixed cycle. Synchronizing every 12 hours balances data timeliness and server load |
SUPPORTED_PARSE_TYPES | ["pdf", "html", "csv"] | Small home appliance data sources include brand manual PDFs, e-commerce detail page HTML, and parameter export CSVs, so three parsing formats must be supported |
UNIT_CONVERSION_SWITCH | Enabled | Small home appliance fields include diverse units such as rated voltage (V), rated power (W), and net weight (kg). Unified conversion to standard units required for due diligence reports is needed |
BATCH_TOOL_MAX_REQUESTS | 15 requests per minute | Batch calls for small home appliance SKUs must avoid triggering interface rate limits from third-party data sources. 15 requests per minute is a standard safe threshold |
VALIDATE_RESPONSE_FIELDS | ["product_model", "cert_no", "rated_power"] | Core fields for small home appliance intelligent due diligence are product model, certification number, and rated power. The integrity and validity of returned fields must be verified |
PLUGIN_CALL_TIMEOUT | 240 seconds | Unstructured document parsing may take a long time. 240 seconds covers most small home appliance document parsing scenarios |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Workflows fail to retrieve structured parameter values returned by MCP tool calls. Cause: Validation rules for
VALIDATE_RESPONSE_FIELDSare not configured. Non-core fields returned by tools are automatically filtered, or the synchronization cycle is set too long, leading to returned expired data. - Parameter units returned after tool calls are inconsistent, with mixed W and kW or mm and cm. Cause:
UNIT_CONVERSION_SWITCHis not enabled, and no built-in unified unit conversion logic is implemented. Raw units from data sources are returned directly. - When combining knowledge base calls with tool calling workflows, returned content does not match the requested small home appliance parameter questions, resulting in off-topic responses. Cause: The context scope of tool calls is not restricted, or the prompt does not explicitly specify that reports should be generated only using small home appliance data returned by tools, causing the model to call irrelevant knowledge base content.
How to confirm correct configuration
- Manually trigger a tool call, check that returned structured parameters include the preset core fields and that units meet report requirements.
- View synchronization logs to confirm that MCP data sources have completed updates according to the configured cycle with no failed records.
- Test the batch call function, confirm that the number of SKUs called per single time does not exceed the configured threshold, and that returned results have no truncation or errors.
- Combine with the knowledge base call workflow, submit a preset small home appliance due diligence question, and check that returned content is generated only using parameter data returned by tools.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.