What the data for this category looks like
Financial report data for the home goods category comes primarily from periodic filings disclosed by domestic and overseas stock exchanges, and monthly production and sales monitoring data released by light industry manufacturing industry associations. Data update timelines follow securities regulatory disclosure rules. Annual reports are updated once per year. Semi-annual and quarterly reports are released per their respective cycles. Industry monitoring data is updated monthly. Document structures include modules such as revenue breakdown (by categories like soft furnishings, custom home goods, and home decor), cost composition, store operations, and inventory turnover. Core fields use renminbi as the pricing unit, including standardized content such as single-category revenue, gross margin, store count, and inventory turnover days.
What constraints these characteristics impose on tool calling and plugins
The multi-category breakdown structure of home goods financial reports requires tool calling to support filtering parameters set by sub-categories such as soft furnishings, custom home goods, and decor. This prevents returning revenue data that confuses overall and segmented categories. The periodic disclosure update timeline requires plugin configurations to adapt to different cycle data source refresh rules, matching the disclosure delays of annual, semi-annual, and quarterly reports. The high-frequency updates of monthly industry monitoring data requires setting tool calling cache duration to no more than 30 days, to avoid returning outdated data. Non-standardized inventory turnover and store operation fields require plugins to support custom field mapping rules, adapting to differences in financial report disclosure across enterprises.
How to Set Configurations
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
mcp_server_url | http://localhost:8080/mcp | The official default startup port for fastgpt-mcp-server is 8080, and the standard MCP interface path is /mcp |
tool_call_timeout | 300 seconds | Home goods financial reports include multi-module data analysis. 300 seconds covers the full loading and analysis process for most enterprise financial reports |
max_tool_calls_per_round | 3–5 times | Standard home goods financial report analysis requires calling three types of tools in sequence: revenue breakdown, cost composition, and inventory data. 3-5 calls covers core requirements |
cache_ttl | 2592000 seconds | Matches the 30-day update cycle of monthly industry monitoring data, to avoid returning outdated industry analysis data |
field_mapping_enable | Enabled | There are many non-standardized fields in home goods enterprise financial report disclosures. This adapts to differences in field naming across enterprises |
tool_filter_tags | ["Financial Report Analysis", "Home Goods"] | Accurately filter tools adapted to the category, avoiding calls to unrelated tools that disrupt analysis workflows |
The parameter values provided on this page are common 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 Mistakes
- Symptom: After upgrading fastgpt-mcp-server, a
connection refusederror appears when starting FastGPT, and the tool list fails to load. Cause: The updated MCP server address was not synchronized to FastGPT's tool configuration items, preventing the establishment of a connection. - Symptom: After each MCP tool call, the conversation context is cleared, making it impossible to continue analysis based on historical questions. Cause: The tool call context retention configuration was not enabled, or the configured context window length is insufficient to cover conversation content before and after tool calls.
- Symptom: When calling a multi-parameter MCP tool in a workflow, only partial parameters from the initial question are obtained, and remaining parameters are not automatically supplemented. Cause: The parameter collection node was not configured in the workflow, or the parameter collection trigger conditions did not cover all required fields required by the tool.
How to Confirm the Configuration Is Complete
- Access the FastGPT tool management page, confirm that the expected MCP tools are included in the list of home goods financial report tools added, and that the tool tags match the configured filtering rules.
- Initiate a test call, observe whether the tool return results include segmented data for home goods sub-categories, to verify that the field mapping configuration is effective.
- Check the tool call logs, confirm that the time taken for a single call meets the configured timeout requirements, and that the update time of cached data matches the preset refresh cycle.
- Simulate a multi-parameter tool call in a workflow, verify that all required parameters can be automatically collected and passed, completing the full analysis process.
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.