Tool Calling and Plugins for Residential Development Yield Rates

Residential development yield rate data comes from project land acquisition files, construction cost ledgers, local housing authority online signing

What the data for this category looks like

Residential development yield rate data comes from project land acquisition files, construction cost ledgers, local housing authority online signing and filing systems, and partner financial statements. Data updates follow a monthly synchronization schedule. Sales filing data for some core projects has a 7-15 day delay. Each data document includes fields such as project unique identifier, plot location, total salable area, unit construction cost, cumulative filed sales revenue, and amount received. Most field units are square meters, yuan per square meter, and ten thousand yuan.

Constraints on tool calling and plugins

Decentralized data sources require calling multiple tools to aggregate information. Cross-tool data validation rules must be configured to avoid parsing errors caused by differing field names across sources. Data lag requires limiting query periods to the most recent three calendar months during calls. Real-time sales data that has not completed filing cannot be requested. Fixed field structures require explicit specification of required fields in tool call parameters. This avoids redundant information that consumes call resources.

Configuration Settings

Configuration ItemRecommended SettingRationale
tool_timeout300 secondsCross-source aggregation of residential development data typically takes 120-200 seconds. Sufficient buffer time is reserved to avoid timeouts
mcp_resource_filter["project_id", "monthly_sales", "construction_cost"]Only pull fields directly related to yield rate calculations to reduce data transmission volume and parsing overhead
workflow_trigger_modemanual_with_paramResidential development yield rate calculations require manual specification of project ID and query period. Automatic triggering may return data for unrelated projects
api_debug_modefull_logTroubleshooting issues with cross-tool calls requires full logging of request headers, parameters, and returned content to locate format or permission exceptions
stream_response_formatmarkdown_tableResidential development data includes multi-dimensional fields. Table format enables faster viewing of core metrics than plain text
max_return_items10 itemsIndividual residential development project data has a large volume. Limiting return items prevents frontend parsing and display overload

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

Three Common Misconfigurations

  • An ETIMEDOUT error is returned when calling MCP tools. This occurs because the tool_timeout parameter was not adjusted for the cross-source aggregation characteristics of residential development data. The default timeout period is too short to complete data pulling.
  • A workflow call fails with a 404 Not Found response. This occurs because the workflow ID bound to the residential development data tool was not correctly obtained. Requests were sent using a generic workflow ID directly.
  • The returned text stream does not display in the expected format. This occurs because stream_response_format was not configured as markdown_table. The default plain text format cannot clearly display residential development data with multiple fields.

How to Verify Proper Configuration

  • Send a tool call request for a single project. Check the actual elapsed time for tool_timeout in the returned logs to confirm it does not exceed the configured threshold.
  • Navigate to the FastGPT workflow management page, copy the workflow ID bound to the residential development data tool, paste it into the call request, and verify that the request returns structured data normally.
  • Enable API debug mode, review the returned stream data format, and confirm core fields are displayed in the configured markdown_table format.
  • Check the number of items in the returned results. Confirm the count does not exceed the limit set in max_return_items, and only includes the specified core fields.

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.