Tool Calling and Plugins for Commercial Real Estate

What the data for this category looks like

Commercial real estate marketing-related data primarily comes from business operation management systems, leasing ledger systems, offline passenger flow statistics devices, and third-party business district data platforms. Data update frequencies vary: rental quotes are adjusted quarterly, passenger flow data is updated daily, and leasing ledger entries change in real time as tenants move in or out. Document structures include project location descriptions, business format proportion tables, detailed rental range information, surrounding supporting facility data, and past marketing cases. Fields include rental unit price (unit: yuan per square meter per day), average daily passenger flow (unit: trips per hour), lease term (unit: months), and more. The text length of a single marketing document typically ranges in the thousands of characters.

What constraints these characteristics impose on tool calling and plugins

The decentralized storage of multi-source data requires calling multiple vertical API plugins to aggregate data, which increases the complexity of plugin configuration. Data sources with different update frequencies require matching differentiated scheduled synchronization parameters. Using a unified synchronization cycle may lead to outdated data or redundant requests. Inconsistent field units require built-in format verification and conversion logic in plugins. Otherwise, the generated marketing content will have unit confusion issues. Processing long-text marketing documents requires limiting the content length of a single call. This avoids triggering timeout restrictions for tool calls.

How to set configurations

Configuration Item	Recommended Value	Rationale
`TOOL_API_TIMEOUT`	`30 seconds`	Commercial real estate data interfaces usually have response delays due to large data volumes. 30 seconds covers most normal requests
`PLUGIN_REQUEST_RETRY_TIMES`	`2 times`	Multi-source data interfaces occasionally experience fluctuations. 2 retries reduce request failure rates without adding extra load
`FIELD_EXTRACT_PATTERN`	`["租金单价", "日均客流", "租约期限"]`	Matches core extraction fields for commercial real estate marketing content, ensuring generated marketing copy focuses on key information
`PLUGIN_DATA_SYNC_INTERVAL`	`Every 1 hour`	Balances data timeliness and system load, adapting to the update rhythms of daily passenger flow updates and quarterly rental quote updates
`UNIT_CONVERSION_ENABLE`	`Enabled`	Automatically unifies unit formats across different data sources, avoiding unit confusion in marketing content
`MAX_PARSE_CONTENT_LENGTH`	`8000 characters`	Adapts to the typical text length of a single marketing brochure, avoiding exceeding content limits for tool 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 mistakes

Symptom: A ModuleNotFoundError is prompted when running code plugins, and the pandas or matplotlib libraries cannot be loaded. Cause: The required third-party libraries are not declared in the CODE_RUNNER_EXTRA_PACKAGES configuration item, resulting in missing dependency packages in the code running environment.
Symptom: Business format parameters passed when calling MCP plugins are not correctly identified, and the returned results do not match the passed commercial format information. Cause: MCP_PARAM_TRANSFER_MODE is not configured as Explicit Pass, resulting in automatic truncation or omission of parameters.
Symptom: A 400 Bad Request error is returned when calling Mermaid to generate marketing material diagrams. Cause: MERMAID_API_ALLOWED_DOMAINS is not configured to allow domain access for commercial real estate project data, or the drawing parameters include unauthorized sensitive fields.

How to confirm configurations are complete

Initiate a commercial real estate marketing content generation request, and check whether the returned fields in the tool calling log include preset core information such as 租金单价 and 日均客流.
Enter the configuration page of the code running plugin, and check whether the CODE_RUNNER_EXTRA_PACKAGES list includes the third-party libraries required for the project.
Simulate passing rental data with different units, such as 5 元/㎡ per day and 50 元/㎡/月, and check whether the results returned by the plugin are automatically unified to the target unit format.
Call the MCP plugin with specified commercial format parameters, and check whether the returned marketing content correctly matches the passed format information.

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.