Tool Calling and Plugins for Energy Storage Yield Reporting

What the data for this category looks like

Data for energy storage yield daily reports comes from the State Grid Power Market Trading System, energy storage power station SCADA monitoring systems, and third-party energy data aggregation platforms. Full settlement updates for daily report data are completed at 2 AM each day. Real-time intraday operating data is refreshed every 15 minutes. Data used for yield reporting is the aggregated data from the previous day. Documents use structured CSV or JSON format. Each row corresponds to one energy storage station. Fields include: station code, statistical date, rated installed power, total daily charge and discharge energy, grid settlement electricity price, operation and maintenance cost allocation amount, total daily revenue, and revenue per installed unit.

Constraints on tool calling and plugin workflows

Reliance on multiple data sources requires plugins to support integration with multiple API interfaces such as power trading and SCADA, and to configure cross-source data association rules. The T+1 update schedule requires scheduled task trigger times to be set after 2 AM daily, to avoid obtaining incomplete unsettled data. The uniqueness of fields and units requires parameter mapping for tool calls to strictly match fields such as station code and electricity price unit. Mixing mapping rules from other categories is not allowed. Reasonable batch sizes must be set for bulk data pulls, to avoid exceeding interface rate limit thresholds in a single request. Aggregation logic for multiple station data must also be handled to ensure the accuracy of yield calculations.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`tool_api_timeout`	`600 seconds`	Energy storage station data interfaces typically have longer response times due to aggregating data from multiple sources. 600 seconds covers the pull requirements for all stations.
`tool_batch_size`	`100 items per request`	Power trading interfaces typically have limits on the number of items per request. 100 items per request balances request efficiency and rate limit risk.
`data_mapping_rule`	`Strictly match station code + electricity price unit`	Energy storage data fields and units are unique. Strict mapping avoids errors in revenue calculations.
`scheduled_trigger_time`	`03:00 daily`	Energy storage daily report data completes settlement updates at 2 AM. Triggering at 3 AM ensures complete aggregated data from the previous day is obtained.
`tool_error_retry_count`	`3 retries`	Grid interfaces may experience temporary failures due to scheduling fluctuations. 3 retries improves call success rates.
`streaming_output_enabled`	`false`	Yield daily report broadcasting requires complete aggregated data. Streaming output will cause broadcasting content to be disjointed.

The parameter values provided on this page are all common recommended 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 settings.

Three Common Configuration Errors

Symptom: The tool call interface displays the tool_call_failed status code, and the AI outputs a generic response without calling the tool. Cause: The data_mapping_rule is not configured, resulting in field mapping mismatches and failed tool parameter validation.
Symptom: A model_not_supported error is returned when calling the tool, and tool call requests cannot be initiated. Cause: A model version that supports tool calling is not used. Some lightweight models cannot parse the tool call parameter format.
Symptom: A connection_refused error is returned when calling the SQL Server database plugin, and local stored data for energy storage stations cannot be read. Cause: The database access whitelist is not configured, or the port number in the connection string does not match the SQL Server instance port.

How to Verify Proper Configuration

Manually trigger a tool call to pull data for a single energy storage station from the previous day. Check if the returned results include preset fields such as total daily revenue and revenue per installed unit, and that the numerical units match the configured mapping rules.
View scheduled task logs to confirm that the tool call task triggered at 03:00 daily executes successfully, with no tool_api_timeout or connection_refused errors.
Test a bulk call to pull data for 100 energy storage stations. Check that the number of returned results matches the tool_batch_size configuration, with no truncated or duplicate data.
Switch to a model that supports tool calling to initiate a request. Confirm that tool calling succeeds and the returned yield data is correctly integrated into the broadcasting content.

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.