Tool Calling and Plugins for Ordnance Equipment Yield Data

What the data for this category looks like

Ordnance equipment-related yield and market data comes from publicly traded datasets for the national defense and military industry sector, regular and interim announcements of relevant ordnance equipment entities, and public disclosures from industry monitoring institutions. Two update frequency categories apply: daily market data is updated after each trading day’s close, and interim operational data is synced immediately upon release of the corresponding announcement.

The document uses a standardized structured dataset format, including asset unique identifier, equipment subcategory classification tag, statistical cycle identifier, cycle yield value, data update timestamp, and data traceability field. For fields and units:

asset_unique_id is the asset unique identifier, with no unit
equipment_subcategory is the equipment subcategory tag, with no unit
cycle_return is the cycle yield value, with the unit being the income change unit corresponding to the statistical cycle
update_time is the data update timestamp, with the unit being millisecond-level Unix timestamp

Constraints for Tool Calling and Plugins

The multi-source, decentralized nature of ordnance equipment data requires that tool calling plugins support aggregated configuration across multiple API endpoints. Separate authentication parameters and parsing rules must be configured for each data source.

The dual update rhythm of daily and interim triggers requires plugins to support both scheduled pull and event-triggered invocation modes. Matching rules for trigger conditions must be configured.

The equipment subcategory classification field requires that filtering parameters for the target category be passed during tool calling. This prevents return of yield data for non-target categories.

The millisecond-level timestamp requirement means the plugin’s request timeout setting must match the data update delay. This avoids data loss caused by premature request termination due to timeout.

Configuration Settings

Configuration Item	Suggested Value	Basis for This Setting
`tool_call_timeout`	`120 seconds`	The update delay for ordnance equipment data typically falls between 60-90 seconds. Setting 120 seconds covers most scenarios
`tool_filter_fields`	`["asset_unique_id", "equipment_subcategory", "cycle_return", "update_time"]`	Only retain core fields to reduce returned data volume, adapting to the content requirements of daily report broadcasting
`tool_trigger_mode`	`["scheduled", "event"]`	Support two invocation modes: scheduled daily pull and interim announcement trigger, covering daily report and interim broadcasting scenarios
`api_request_retry_count`	`3 times`	Multi-source data interfaces may experience temporary fluctuations; retries can improve invocation success rate
`plugin_field_mapping`	`{"cycle_return": "yield value", "equipment_subcategory": "equipment category"}`	Unify field names to adapt to the display logic of downstream broadcasting systems
`tool_call_max_results`	`Top 20 entries`	Daily report broadcasting typically only requires core data; excessive entries increase broadcasting load

The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Issue: Tool calling returns a 400 Bad Request error. Cause: The equipment_subcategory filtering parameter is not configured correctly, and the request carries non-preset equipment category tags.
Issue: The full request_body content is not displayed in tool calling logs. Cause: Full request logging configuration is not enabled, and only some core parameters are recorded.
Issue: Yield data fields returned by tool calling are missing. Cause: The plugin_field_mapping parameter is not configured correctly, and the original fields of the data source are not mapped to field names usable by downstream systems.

How to Verify Proper Configuration

Initiate a manual tool call, and check whether returned results include equipment category data filtered by the preset equipment_subcategory parameter.
Review tool calling logs, and confirm that the request_body field fully records all configured parameters and request content.
Configure a scheduled trigger task, wait for the next update cycle, and check whether latest data with updated update_time is automatically pulled.
Simulate an interim event trigger, and check whether the plugin correctly responds to and pulls interim yield data corresponding to the announcement.

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.