What the data for this category looks like
Sources include monthly supplier ledgers of home appliance manufacturers, real-time sales snapshots from major e-commerce platforms, and offline terminal sampling data from industry monitoring institutions. Update schedules follow these rules: Online retail data updates daily. Offline terminal data updates once weekly. Promotional activity data releases in sync with the activity cycle. Data is stored in structured CSV or JSON format, including fields such as SKU code, product model, rated power, supply unit price, terminal retail unit price, and inventory turnover days. Units are none, none, kilowatt-hour, yuan per unit, yuan per unit, and day respectively. No additional unstructured attached content is included. Field names have minor differences depending on the data source.
What constraints these characteristics impose on tool calling and plugins
Differences in update schedules across multiple data sources require tool calling to support configuring different trigger frequencies per data source. This avoids resource waste from high-frequency pulling of low-frequency updated offline data. Differences in field naming across different data sources require configuring unified mapping rules. This ensures the fields returned by the tool align with business requirements. The fixed nature of structured data fields requires enabling strict mode in the tool parsing phase. This filters unexpected fields and avoids irrelevant content being mixed into results. Cross-data source field association requirements require plugins to support linked calls across multiple data sources. This integrates business data from different sources.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_DATA_SOURCE_LIST | ["ecommerce_snapshot", "manufacturer_inventory", "industry_monitor"] | Covers the three core data sources: online retail, manufacturer supply, and industry monitoring |
TOOL_UPDATE_FREQUENCY | 24 hours | Matches the daily update schedule of online retail data |
FIELD_MAPPING_RULES | {"ecommerce_snapshot.retail_price": "terminal_retail_price", "manufacturer_inventory.supply_price": "supply_unit_price"} | Unifies differences in field naming across different data sources |
TOOL_TIMEOUT | 600 seconds | Matches the average time range for structured data pulling and parsing |
PARSE_STRICT_MODE | Enabled | Filters unexpected unstructured fields to ensure result consistency |
MCP_SERVER_WHITELIST | ["white_appliance_data_provider"] | Restricts the legitimate server scope for tool calling |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires individual analysis, and testing on internal samples is recommended before finalizing.
Three common misconfigurations
- Phenomenon: Fields extracted after tool calling are empty or do not match actual values. Cause:
FIELD_MAPPING_RULESis not configured, leading to mismatched field names across data sources, preventing correct mapping to target fields. - Phenomenon: Tool calling execution logs and raw results are directly output to the conversation interface. Cause: The
TOOL_HIDE_EXECUTION_LOGconfiguration item is not enabled, or the trigger condition for the tool calling end node is not correctly bound. - Phenomenon: Unable to send a termination command to an executing MCP tool, or the command has no response. Cause: The
allow_terminateparameter is not enabled inMCP_SERVER_CONFIG, or the termination trigger condition for tool calling is not correctly configured.
How to confirm correct configuration
- Call the test tool to pull structured data from a single data source, and verify that the mapped field names match the preset business fields.
- View the tool calling logs to confirm that the update timestamp of the pulled data matches the update schedule of the corresponding data source.
- Trigger tool calling, and check that the execution logs are hidden in the conversation interface, in line with configuration requirements.
- Simulate tool execution timeout or exception, and confirm that the termination command can be sent normally to stop tool operation.
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.