Tool Calling and Plugins for General Equipment Yield Rates

Data sources for general equipment yield rates and daily market reports include daily operation summaries from equipment maintenance systems

What the data for this category looks like

Data sources for general equipment yield rates and daily market reports include daily operation summaries from equipment maintenance systems, connected device condition statistics from industrial internet platforms, and operating benchmark data released by industry associations. Data is aggregated daily at midnight for full previous-day data. Incremental real-time connected device data is pushed every 15 minutes. The daily report only uses statistics from midnight each day. Each data entry includes fields such as device unique identifier, statistical cycle, cumulative operating duration, qualified output volume, energy consumption per unit output, daily profit per unit, industry benchmark unit profit, and more. The units of these fields are string, date format, hour, piece, kilowatt-hour, yuan, yuan/piece, respectively.

What constraints these characteristics impose on tool calling and plugins

The data sources for general equipment include batch summary APIs and single-device real-time query APIs. Tool calls must support both batch device ID lists and single device ID input formats. Daily report data updates once per day. The tool cache validity period must match the update cycle to avoid frequent fetching of expired data. The fields include multi-dimensional operating and profit indicators. Tools must explicitly specify a whitelist of returned fields to prevent redundant data from interfering with subsequent logic. Device IDs follow different naming conventions across manufacturers. Tool calls must support custom matching rules to filter invalid device requests.

How to set configurations

Configuration ItemRecommended ValueRationale
BATCH_TOOL_MAX_COUNT10–50The number of devices per batch for general equipment typically ranges from 10 to 50, avoiding exceeding API current limit thresholds in a single request
CACHE_EXPIRE_SECONDS86400 secondsGeneral equipment yield rate daily reports update once per day. Matching the cache validity period to the update cycle prevents fetching old data
REQUIRED_OUTPUT_FIELDSdevice_id,stat_date,daily_profit_yuanOnly retain core profit and identification fields to reduce the size of tool returned data
DEVICE_ID_VALID_PATTERNPreset regular expression per manufacturerAdapt to naming formats of device IDs from different manufacturers, filter invalid device requests
REQUEST_TIMEOUT_MS30000 millisecondsIndustrial data interfaces typically respond slowly. Reserve sufficient timeout time to avoid mid-request interruptions
FIELD_MAPPING_RULECalibrated via actual testingField names vary across data sources. Map returned fields to a unified format

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

Three common mistakes

  • Phenomenon: The tool call returns a tool_call fragment with incorrect format, missing fields or non-matching field names. Cause: REQUIRED_OUTPUT_FIELDS is not configured, causing the tool to return redundant or incomplete fields, making the parsing logic unable to correctly match the expected format.
  • Phenomenon: The number of returned results after batch tool calls does not match the number of requested devices, and some device data is missing. Cause: BATCH_TOOL_MAX_COUNT is set too small, exceeding the single-request current limit threshold of the external API, and no retry mechanism is configured, resulting in some requests not being completed.
  • Phenomenon: Intermediate step tool call logs are displayed after workflow execution, and non-aggregated content is output. Cause: The intermediate step output switch for the workflow is not turned off, causing non-final aggregated tool call results to be returned to the frontend.

How to confirm the configuration is correct

  • Trigger a single-device tool call, check if the returned results include the fields specified in REQUIRED_OUTPUT_FIELDS, and the field units conform to the preset rules.
  • Initiate a batch call request, verify that the number of returned results matches the number of requested device IDs, with no missing or duplicate entries.
  • Modify CACHE_EXPIRE_SECONDS to 300 seconds, trigger two identical requests, check if the second request uses the cache and does not repeatedly call the external API.
  • Submit a device ID that does not conform to the DEVICE_ID_VALID_PATTERN, check if the tool returns an error message for invalid parameters.

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.