What Data for This Category Looks Like
Water utility marketing data mainly comes from pipe network operation systems, user payment management platforms, offline marketing activity ledgers, and water quality disclosure archives. Data update rhythm: Pipe network operation parameters sync every hour, user payment records update daily, marketing activity data is entered in real time as execution progresses, and water quality test reports update per monthly test cycles. Document structure falls into two categories: Structured fields include device number, water supply flow rate, water pressure value, user payment amount, and number of event participants, with corresponding units of cubic meters, megapascals, yuan, and person-times. Semi-structured documents include inspection logs and user consultation work orders, containing non-standardized on-site descriptions and problem records.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins?
The multi-source, heterogeneous nature of water utility marketing data requires tool calling plugins to support simultaneous connection to time-series and document databases, and adapt to conversion logic for different data formats. Frequently updated pipe network operation parameters and real-time activity data require setting reasonable timeout thresholds and disabling local caching for tool calls, to avoid returning outdated information. The strict unit constraints for structured fields require the parameter verification step of tool calls to forcibly match preset units, to prevent data analysis deviations caused by inconsistent units. Semi-structured inspection logs and user work orders require plugins to support keyword extraction and classification of unstructured text, to assist in generating targeted marketing content.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_CALL_TIMEOUT | 300 seconds | Water utility data queries are mostly time-series, and single query time usually does not exceed 5 minutes. 300 seconds covers most scenarios |
DB_CONNECTION_POOL_SIZE | 10–15 | Concurrent database requests for water utility enterprises usually stay below 10. This range avoids connection overflow |
TOOL_PARAM_VALIDATION | Enable unit verification | Water utility data fields have strict unit requirements. Verify whether flow parameters are in cubic meters and water pressure is in megapascals |
DYNAMIC_DATA_CACHE_TTL | 0 seconds | Pipe network operation data and marketing activity data need to be updated in real time. Disabling caching ensures the latest data is returned |
UNSTRUCTURED_DATA_PARSE_MODE | Keyword extraction mode | Semi-structured inspection logs only need to extract core fields such as device number and fault type for marketing content generation |
FILTER_PARAM_WHITELIST | Region, User ID, Activity Time | Water utility marketing content is usually generated targeting regions or user groups. Limiting the range of filter parameters improves query efficiency |
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 specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: A parameter error is triggered when variables are used to pass SQL query statements, but the SQL runs without errors when executed manually. Cause: The
TOOL_PARAM_VALIDATIONconfiguration is not enabled, and no verification is performed to check whether variables contain illegal characters or do not meet the field constraints of water utility data. - Phenomenon: No output is returned after the tool calls the database, and an empty result set is returned. Cause:
DYNAMIC_DATA_CACHE_TTLis not set to 0 seconds, resulting in cached expired water utility data, or the database connection pool configuration is insufficient, causing requests to be rejected. - Phenomenon: A connection timeout is triggered when calling a tool in a workflow, with a 504 status code. Cause:
TOOL_CALL_TIMEOUTis set too short, which cannot cover the complex query time of water utility time-series databases.
How to Confirm the Configuration Is Correct
- Perform a single tool call test, pass preset water utility data query parameters, and verify that the field units of the returned results match the preset requirements.
- View the tool call logs, confirm that no parameter verification failure errors occur, and the connection pool connection count does not exceed the configured upper limit.
- Simulate a marketing content generation scenario, call the tool to pull user payment data for a specified area, and verify that the time difference between the update time of the returned data and the current time meets business requirements.
- Test the scenario of passing SQL query statements with variables, confirm that the tool can normally parse variables and execute queries, and no parameter errors are triggered.
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.