What the Data for This Category Looks Like
Listed companies and third-party industry monitoring databases provide the primary sources of small home appliance industry financial report data. There are two update schedules. Regulatory requirements mandate regular disclosure of annual and semi-annual reports. Third-party industry supply chain monitoring databases update their data monthly.
Document structures include main business composition tables, period expense breakdown tables, and cash flow statements. Some companies provide supplementary attachments with shipment details for specific small home appliance categories. Fields include main business revenue, shipment volume, inventory quantity, and others. Corresponding units are RMB yuan, units, and units.
What Constraints These Characteristics Impose on Tool Calling and Plugins
Small home appliance financial reports cover numerous segmented categories. Tool calling must accurately match revenue, inventory, and other fields for different small home appliance categories, requiring targeted field mapping rules.
Industry data uses two update frequencies: regular disclosure and real-time monitoring. Flexible synchronization trigger mechanisms prevent outdated or redundant data when properly configured.
Individual financial reports include multiple detailed attachments. Tools must adapt extraction logic to multi-table structures to avoid missing critical data.
Field names vary across different data sources. Tool calling standardizes field processing to ensure consistency of analysis results.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MCP_SYNC_INTERVAL | 1800 seconds | Small home appliance industry supply chain monitoring data updates every 30 minutes, requiring timely synchronization of the latest shipment data |
TOOL_CALL_MAX_RETRIES | 3 retries | Small home appliance financial report data sources are scattered, and third-party interface calls are easily affected by network fluctuations. Multiple retries improve success rates |
RECALL_TOP_K | Top 8 entries | Small home appliance financial reports include multiple segmented category fields. A sufficient number of relevant segments must be recalled to avoid missing critical data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Small home appliance financial reports include multiple detailed supplementary attachments. Parsing complete documents takes a long time |
MCP_TOOL_AUTH_TYPE | api_key authentication | Most data sources for the small home appliance industry are paid interfaces, requiring api_key verification to grant call permissions |
TOOL_PROMPT_TEMPLATE | Accurately match segmented category data using small home appliance financial report field names | Field names for segmented categories in small home appliance financial reports are unique. Fixed prompt words guide tool calling for the corresponding fields |
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. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- API calls return incomplete fields for small home appliance financial report analysis results, while segmented category revenue data can be returned normally in online chat sessions. The cause is that the API call does not pass the user's historical query context parameters. Tool calling cannot match the fields corresponding to the user-specified small home appliance segmented category.
- When calling the pie chart generation tool, the returned markdown format chart lacks corresponding data labels. The cause is that the field mapping rules for small home appliance financial reports are not specified in
TOOL_PROMPT_TEMPLATE, causing the tool to fail to correctly extract revenue amounts and category names. - After adding a locally running MCP service, tool calling returns a
404 Not Founderror. The cause is that the correct local service listening address is not filled in theMCP_SERVICE_URLconfiguration, causing FastGPT to fail to connect to the MCP service.
How to Confirm Proper Configuration
- Initiate a test API call, pass a query instruction targeting small home appliance financial reports, and check whether the returned results include business data of the corresponding dimensions.
- Enter the FastGPT tool management page, confirm that the status of the added MCP service is connected.
- Trigger the tool call retry process, verify whether the request is completed within the configured number of retries.
- Call the pie chart generation tool, check whether the returned markdown format matches the field structure of small home appliance financial reports.
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.