Tool Calling and Plugins for Commercial Real Estate

What this category's data looks like

Commercial real estate due diligence data comes primarily from public records of real estate registration agencies, filing documents from housing and urban-rural development authorities, project operation ledgers, third-party surveying and mapping reports, and rental revenue systems. Ownership-related data has a long update cycle, typically quarterly or semi-annually. Rental and operation-related data is updated monthly or in real time. A single due diligence report usually includes modules such as basic project information, ownership certification documents, layout drawings, cash flow forecast tables, and surrounding supporting data. Each document has a relatively large number of pages. Specialized fields include building area (unit: square meters), rental unit price (unit: yuan per square meter per day), land use term (unit: years), and ownership certificate number, among others.

Constraints on tool calling and plugins

Data sources are scattered. Multiple interfaces from different data sources must be called. Tool calling workflows must support parallel or serial scheduling of multiple interfaces. Update frequencies vary widely across data sources. Cache policies for tool calls must be configured separately per data source type to avoid using outdated data. Document volume and page count are large. File parsing parameters for tool calls must support long-text processing to prevent parsing timeouts or truncation of critical content. Specialized fields and units have strict requirements. Format validation must be applied to incoming parameters during tool calls to prevent data errors caused by unit mismatches. Some data sources involve sensitive ownership information. Permission verification links must be configured for tool calls to ensure compliance with data access regulations.

Configuration settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`300-600 seconds`	Commercial real estate due diligence reports include multi-page surveying and mapping drawings and ownership documents, with generally long parsing times
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Surveying and mapping CAD files and historical ledger scans for commercial real estate are typically large in size
`HTTP_REQUEST_TIMEOUT`	`120 seconds`	Data return cycles are long when calling third-party real estate registration interfaces and rental system interfaces
`TOOL_CALL_BATCH_SIZE`	`3-5 times per round`	Commercial real estate due diligence requires calls to multi-dimensional data sources including ownership, rental, and business format data; batch calls can reduce the impact of interface trigger restrictions
`TOOL_CACHE_TTL`	`86400-2592000 seconds`	Update frequencies differ across data sources: rental data is cached for 1 day, and ownership data is cached for 30 days
`FILE_PARSE_CHUNK_SIZE`	`1500-2000 characters`	Commercial real estate documents contain specialized terminology and long paragraphs; chunk length is adapted to semantic integrity requirements

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 individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

A 415 Unsupported Media Type error is returned when calling a third-party surveying and mapping data interface. The cause is failure to encapsulate uploaded file parameters in multipart/form-data format.
The bound project historical knowledge base is not automatically called when generating a due diligence report. The cause is failure to enable the default trigger rule for tool calls, resulting in the model not actively calling tools.
The global project ID parameter is not passed correctly when calling the application via API. This causes returned data to not match the target project. The cause is failure to inject global variable parameters in API requests as required.

How to verify proper configuration

Upload a commercial real estate surveying and mapping drawing file, and check if the parsing log displays File parsing completed and that parsing time falls within the configured PARSE_FILE_TIMEOUT_SECONDS range.
Trigger the tool calling workflow, and check if the call record includes requests to the configured third-party data source interfaces, and that the unit format of the request parameters meets requirements.
Call the tool via API, pass a test global project ID, and check if the returned result includes exclusive data for the corresponding project.
Check the tool call cache records to confirm that the cache duration for different data sources meets the configured TOOL_CACHE_TTL 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.