What the Data for This Category Looks Like
Tourism attraction research report data primarily comes from publicly monitored data released by cultural and tourism authorities, official operational announcements of attractions, and publicly available research reports from third-party cultural and tourism consumption monitoring platforms. There are two update schedules: basic attraction operational data is updated monthly, while industry trend research reports are released quarterly. Typical document structures include modules such as attraction visitor scale, revenue composition, customer group geographic distribution, changes in surrounding supporting facilities, and policy impact analysis. Fields and units include "Total Visitor Receipts" (unit: person-times), "Ticket Sales Revenue" (unit: ten thousand yuan), "Single-Day Maximum Carrying Capacity" (unit: person-times), and "Average Occupancy Rate of Surrounding Homestays" (unit: ratio).
Constraints for Tool Calling and Plugins
The two update schedules for tourism attraction research report data (monthly and quarterly) require scheduled synchronization tasks to match the update rhythm. This avoids resource waste caused by frequent requests to unchanged data sources. Document structures include multiple segmented fields with specific units. Tool calling requires configuring field mapping rules to ensure correct unit validation logic for fields such as Total Visitor Receipts and Ticket Sales Revenue, preventing numerical calculation deviations. The need to access multiple data sources requires the toolset to support parsing templates for multiple data sources, adapting to different formats of official monitored data and third-party research reports. Additionally, some fields involve information related to attraction operational safety. A source legitimacy validation step must be added during tool calling.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MCP_SERVER_URL | http://127.0.0.1:8080 or the public network address after deployment | The default startup port of the MCP service is 8080. Must match the address of the research report data service deployed locally or in the cloud |
TOOL_CALL_TIMEOUT | 600 seconds | Tourism attraction research reports have large data volumes. Complete parsing and field extraction take a long time. This avoids task interruption caused by early timeout |
PARSE_FIELD_MAPPING | Total Visitors: visitors, Ticket Revenue: revenue, Daily Maximum Capacity: max_capacity | Map Chinese fields in research reports to standardized field names to adapt to the parameter parsing logic of tool calls |
CACHE_EXPIRE_TIME | 2592000 seconds (approximately 30 days) | Basic attraction operational data is updated monthly. Matching the cache cycle to the update frequency reduces repeated requests |
UNIT_VALIDATE_SWITCH | Enabled | Fields in tourism attraction research reports have specific units. Enabling validation prevents parsing errors where values do not match their units |
TOOL_RECALL_MAX_NUM | Top 3 entries | Single tourism attraction research report content is lengthy. Too many recalled entries increase context pressure. Prioritize selecting the latest released research report content |
The parameter values provided on this page are common recommended 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 the configuration.
Three Common Configuration Mistakes
- The pie chart returned after calling the tool fails to render normally, and the interface displays unparsed markdown code snippets. The cause is that the markdown format rules for chart generation are not configured correctly, causing the code block output by the tool to not match FastGPT's rendering requirements.
- The MCP service started via npx does not appear in the FastGPT tool management page, and the corresponding research report retrieval tool cannot be selected. The cause is that the public network address of the service is not configured in the
MCP_SERVER_URLparameter, causing FastGPT to fail to establish a communication link with the MCP service. - The tool activation status is displayed as "Temporarily Activated", and the tool cannot continue to be used after restarting the FastGPT service. The cause is that the MCP service is not configured for persistent startup, and only started via a temporary command, resulting in inability to automatically recover after the service is interrupted.
How to Verify Successful Configuration
- Log in to the tool management page in the FastGPT backend, confirm that the MCP tools related to research report retrieval have been successfully added and are in an activated state.
- Initiate a single tool call request, check whether the returned result contains all fields in the preset field mapping rules, and the units of the fields conform to the actual format of tourism attraction research reports.
- View the tool call log records, confirm that there are no error messages such as communication failure or timeout, and verify that the configured cache cycle matches the data source update schedule.
- Test the chart format in the tool call return content, confirm that the markdown code block conforms to FastGPT's rendering requirements.
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.