Tool Calling and Plugins for Tourist Attraction Revenue Reporting

Tourist attraction daily revenue rate data is sourced from structured transaction data from internal ticketing and cash register systems, as well as

What this type of data looks like

Tourist attraction daily revenue rate data is sourced from structured transaction data from internal ticketing and cash register systems, as well as aggregated data from local cultural and tourism department scenic area operation monitoring platforms. Data is updated via full daily T+1 synchronization, with statistical data for the previous calendar day finalized between 02:00 and 04:00 each day. The document structure is a standardized JSON array, where each element includes fields such as scenic_area_id, scenic_area_name, stat_date, total_revenue, total_visitors, per_capita_revenue, operational_cost, and others. Field units are as follows: total_revenue is in Chinese Yuan, total_visitors is in person trips, per_capita_revenue is in Chinese Yuan per person trip, and operational_cost is in Chinese Yuan.

What constraints do these characteristics impose on tool calling and plugins?

Scenic area daily revenue rate data is full T+1 synchronized structured data. Tool calling must strictly follow the synchronization time window, and may only query historical statistical data that has completed synchronization. Real-time unprocessed data for the current day cannot be requested. The data fields include fixed associated fields such as total revenue, visitor count, and per-capita revenue. When calling, the stat_date format and field integrity must be verified to avoid calculation exceptions caused by misaligned or missing data. Multi-source data docking requirements demand that the plugin adapt to both internal scenic area systems and cultural and tourism regulatory platform interfaces. Cross-source data timestamp alignment logic must be handled to ensure consistent statistical cycles. Additionally, the per-capita revenue field must be generated via the ratio of total revenue to total visitor count. Tool calling requires additional configuration of field calculation logic, avoiding direct reliance on non-standardized fields returned by original interfaces.

How to configure the settings

Configuration ItemRecommended SettingRationale
tool_call_trigger_modeschedule_trigger, triggered daily at 03:00Scenic area revenue data is T+1 daily reports. Tool calling must be triggered after daily data synchronization completes to avoid requesting unprocessed real-time data
api_request_timeout300 secondsResponse delays for internal scenic area data source interfaces typically range from 120 to 200 seconds. Reserve sufficient timeout time to prevent call interruptions
required_tool_fields["scenic_area_id", "stat_date", "total_revenue", "total_visitors"]Core fields are required for scenic area revenue calculations. Missing any one will prevent generation of valid statistical results
tool_response_formatjson_schema, matching the preset scenic area data structureScenic area data uses a standardized structured format. Return structure must be strictly limited to adapt to large model parsing logic
flow_output_streamingfalseDisable streaming output for tool calling to avoid report data splicing exceptions caused by segmented returns
mcp_parameter_type_validationmanual_overrideThis configuration takes effect in version 4.9.6 and above. Scenic area data includes numeric fields. Field types must be manually specified, without relying on the default string type

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 individual analysis. It is recommended to test on your own samples before finalizing settings.

Three common configuration errors

  • Phenomenon: All parameter types are fixed as string when calling the MCP service, and numeric scenic area data cannot be passed correctly. Cause: The manual configuration of mcp_parameter_type_validation is not enabled, and the platform binds all input parameters as string type by default.
  • Phenomenon: Tool calling returns empty results, and the large model conversation node has no valid output content. Cause: The tool calling trigger time is earlier than the daily scenic area data synchronization window, and unprocessed current day data is requested.
  • Phenomenon: Unable to stop tool calling output via the dedicated API, causing the conversation node to wait continuously. Cause: Active termination configuration for tool calling is not enabled, and only the default timeout termination logic is used.

How to confirm the configuration is correct

  • Align the tool calling trigger time with the scenic area data synchronization window, manually call the tool to query historical data for a specified date, and confirm that the returned results include the preset core fields.
  • After configuring mcp_parameter_type_validation as manual_override, upload test numeric parameters, and confirm that the parameter types are not forcibly converted to string during tool calling.
  • After disabling the flow_output_streaming configuration, trigger tool calling, and confirm that the result returns complete structured data in one go, with no segmented output.
  • Check the required_tool_fields configuration, manually delete one of the fields to initiate a call, and confirm that the tool returns a verification failure prompt to ensure the configuration takes effect.

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.