What the Data for This Category Looks Like
Data related to consumer construction material yield rates is sourced from public monitoring API endpoints of domestic regional construction material spot circulation platforms and construction material circulation industry associations. There are two data update frequencies: regional terminal quotes are synchronized every 12 hours, and overall industry yield rate statistics are updated every calendar day.
The data follows a standard JSON structure with four core fields:
region(string, indicates province and prefecture-level city)base_price(float, unit: yuan per square meter)change_value(float, unit: yuan per square meter)stat_date(ISO 8601 formatted date string)
No cross-category aggregate statistics are included. Each data entry only corresponds to the single-period yield change of a single construction material sub-category in a specified region.
Constraints Imposed on Tool Calling and Plugins by These Data Characteristics
This category’s data characteristics impose three core constraints on tool calling and plugin configuration.
- There are two update cycles for the data. The scheduled trigger for tool calling must be set to run once every 12 hours and once daily, to avoid frequent calls that trigger interface rate limits.
- The unit of the fields is yuan per square meter. The result formatting module of the plugin must automatically attach the unit to the corresponding fields, to prevent display errors where values and units do not match.
- Each data entry only corresponds to a single region and single category. When calling the tool, the
regionand product category name parameters must be passed forcibly, otherwise an empty result set will be returned.
Additionally, there are no cross-category aggregate fields in the data. The plugin must support user-defined filter conditions to only return results for the specified category and region.
How to Configure the Settings
| Configuration Item | Suggested Value | Basis for This Setting |
|---|---|---|
trigger_cron | 0 */12 * * * and 0 0 * * * | Matches the 12-hour and daily data update frequencies to avoid invalid calls |
param_schema | Includes region (string, example value Zhejiang, Hangzhou) and product_category (string, example value ceramic floor tiles) | Matches data field requirements to ensure incoming parameters can target the intended dataset |
response_parser | jsonpath syntax, extract $.[*].region, $.[*].base_price, $.[*].change_value, $.[*].stat_date | Accurately matches the data document structure to avoid parsing errors |
request_timeout | 600 seconds | Covers the maximum response time of the interface to prevent mid-call interruptions |
enable_cache | true, cache duration 43200 seconds | Matches the 12-hour update cycle to reduce repeated calls |
connection_mode | sse or npx (depending on deployment method) | Adapts to different MCP service deployment forms to ensure normal communication |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Symptom: The tool call returns
400 Bad Requestwith a prompt indicating missing required parameters. Cause: Theregionandproduct_categoryparameters are not configured inparam_schema, so the tool cannot receive filter conditions. - Symptom: The tool returns only raw numeric values without attached units. Cause: The result formatting template is not configured, and
yuan per square meteris not bound to the corresponding values. - Symptom: MCP services deployed using npx cannot be added to the toolset, with a connection error prompt. Cause:
connection_modeis not set tonpx, and the defaultsseconnection method is used, which does not match the service deployment form.
How to Verify Proper Configuration
- Navigate to the tool configuration management page, check the
param_schemaconfiguration items, confirm that theregionandproduct_categoryparameters are included, and that the parameter types align with the data field requirements. - Initiate a single tool call with verified region and category parameters, check that the field names and formats of the returned results match the data documentation.
- View the tool call logs, confirm that the trigger interval matches the set
trigger_cronexpression, and there are no high-frequency trigger records. - Check the cache configuration items, confirm that the cache duration matches the data update cycle to avoid using expired data.
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.