What Data for This Category Looks Like
Data for this category comes from daily ledgers of commercial property operation management systems, financing connection interfaces of partner financial institutions, and filing databases of local financial supervision. Data updates follow a full sync of the previous day’s data every early morning. Documents use a structured table format, where each row corresponds to financing-related information for a single property project. Fields include project name, property location address, operable area (unit: square meters), financing application amount (unit: ten thousand yuan), approved loan amount (unit: ten thousand yuan), loan disbursement date, financing institution name, financing term (unit: months), fund usage, and others.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins?
The data characteristics of this category impose multiple constraints on tool calling and plugin configuration. Multiple data sources require configuring multiple MCP service connections, and unified handling of return format differences across different interfaces. The daily update schedule requires scheduled tool call tasks to align with the data sync cycle, to avoid calling outdated information. The structured table format requires specifying precise field extraction rules during tool calls, to avoid returning irrelevant content. Unit differences across fields (square meters, ten thousand yuan, months) require built-in unit validation logic in plugins, to prevent unit mismatch errors during calculations. A single property project may have multiple financing records, requiring tool calls to support deduplication by project ID to ensure unique returned data.
How to Configure Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
MCP_SERVER_URLS | ["http://property-operation-data-interface-url", "http://financial-institution-financing-interface-url", "http://supervision-filing-interface-url"] | This category requires connecting three types of data sources. Multiple addresses enable pulling multi-source financing data |
SCHEDULE_CRON | "0 1 * * *" | Data syncs every early morning. This expression triggers tool calls at 1 a.m. daily, aligning with the data update cycle |
PARSE_FIELD_RULE | "Extract fields: project name, property location, financing application amount, approved loan amount" | The structured table format requires precise extraction of specified fields to avoid returning redundant, irrelevant information |
UNIT_VALIDATION_ENABLE | true | Unit differences exist across fields (square meters, ten thousand yuan, months). Enabling validation prevents unit mismatch errors |
ENABLE_DUPLICATE_CHECK | true | A single property project may have multiple financing records. Enabling deduplication ensures unique returned data |
MAX_TOOL_CALL_STEPS | 3 | Multi-source data pulling requires up to 3 tool calls at maximum, avoiding invalid circular calls |
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 Misconfigurations
- Phenomenon: Tool calls trigger knowledge base search, but returned results do not include operation documents for the corresponding property project. Cause: The knowledge base index for the corresponding property category is not bound in the tool call configuration, leading to a search scope that does not match the business scenario of the tool data.
- Phenomenon: A 503 status code is returned after calling a deployed MCP service. Cause: Health check ports and access permissions for MCP services are not configured in version 4.9.6, causing the platform to fail to properly recognize the service's available status.
- Phenomenon: Calculation errors appear in field values returned by tools, such as directly adding square meter area values and ten thousand yuan financing amount values. Cause: The
UNIT_VALIDATION_ENABLEconfiguration is not enabled, and the plugin does not validate units across different fields, leading to abnormal data calculation logic.
How to Verify Proper Configuration
- Manually trigger a tool call task, check if returned results include the fields specified in the configuration, and that field units meet business requirements.
- View the platform's scheduled task logs, confirm whether daily early morning tool calls execute normally, and that the pulled data time range matches the previous day's update cycle.
- Test multi-source data pulling, check if financing information from all three data sources can be obtained simultaneously, and that there are no duplicate property project records.
- Trigger associated knowledge base search, confirm that search results match the current tool call's property project scope.
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.