What the data for this category looks like
Commercial real estate research report data is sourced from business district operation monitoring platforms, commercial segment financial reports of real estate enterprises, industry association survey data, and property operation backends. Updates follow two schedules: scheduled and real-time. Scheduled reports publish fixed-period rental and vacancy rate data on a monthly or quarterly cycle. Real-time reports sync real-time updates including business district anomalies and tenant adjustments. Most document structures include three modules: basic business district information, core operation indicators, and tenant structure analysis. Most fields have defined units, such as "shop rental unit price (yuan/㎡/day)", "average daily business district passenger trips", and "project vacancy rate (%)". Some long documents split out separate sub-pages with segmented data for individual projects or business districts.
What constraints these characteristics impose on tool calling and plugins
The segmented fields and unit requirements for commercial real estate research reports require precise matching of parameter units and dimensions during tool calling, to avoid data parsing errors caused by unit confusion. The combined scheduled and real-time update cycle requires tools to support both incremental pull and immediate trigger invocation modes, and cannot rely solely on full knowledge base synchronization. The combination of long documents and segmented fields requires tools to support filtering recalled content by specified fields, while controlling the length of content parsed per batch to avoid exceeding model context limits. Additionally, most commercial real estate research report data sources are vertical domain APIs, requiring dedicated authentication and routing rules, and cannot directly reuse plugin configurations from general knowledge bases.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 120 seconds | Commercial real estate research reports have large data volumes, so parsing and interface responses require longer wait times |
rerank_top_n | Top 8–12 entries | Commercial real estate research reports include multiple sets of segmented indicators, requiring sufficient recall volume to cover core query dimensions |
tool_param_schema | Includes three required fields: "business district name", "indicator type", "time range" | Core query dimensions for commercial real estate research reports are these three items, which effectively filter invalid recall results |
file_parse_chunk_size | 800–1200 characters | Most paragraphs of commercial real estate research reports contain multiple sets of related data, and this chunk length preserves context integrity |
custom_tool_auth_token | Configure dedicated tokens according to data source requirements | Vertical domain data sources require dedicated authentication credentials to avoid access rejection caused by generic tokens |
error_retry_count | 2–3 attempts | Data sources may experience fluctuations due to temporary data updates, and limited retries reduce the impact of temporary failures |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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
- An error occurs where the tool returns
400 Bad Request. The cause is failure to pass required fields in accordance withtool_param_schemarequirements, such as omitting the "time range" parameter, which prevents the data source from matching research report data for the corresponding time period. - An error occurs where the custom tool call returns
401 Unauthorized. The cause is incorrect configuration ofcustom_tool_auth_token, using generic third-party service credentials instead of dedicated tokens for commercial real estate data sources. - A tool fails to trigger, returning only generic question-and-answer results. The cause is failure to configure a tool calling branch after question classification in the workflow, so the system does not identify query requests that require calling the research report retrieval tool.
How to Verify Proper Configuration
- Submit a query with clear commercial real estate indicators, and check whether the tool call log carries the parameters "business district name", "indicator type", and "time range".
- Test a sudden business district anomaly query, and confirm whether the tool can return the latest data within the set time range.
- Check whether the tool call return results include correct units, such as
yuan/㎡/day. Other formatted unit expressions do not meet requirements. - Review workflow execution records, and confirm that classified queries trigger the corresponding research report retrieval tool branch.
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.