Tool Calling and Plugins for Ordnance Equipment Research

What the Data for This Category Looks Like

For ordnance equipment research report retrieval scenarios targeting the finance industry, data comes primarily from public research institutions in the defense industry, official disclosure documents from the national defense science and technology industry, and regular industry reports released by defense industry groups. Update cycles include regular quarterly and monthly updates, plus ad-hoc updates triggered by events such as equipment fielding and military exercises. Document structures typically include modules such as equipment model, performance parameters, fielding progress, and industrial chain association information. Most fields include clear units, such as "maximum range (kilometers)", "fielding time (years)", "unit cost (ten thousand yuan)". Some research reports include structured parameter tables.

What Constraints These Characteristics Impose on Tool Calling and Plugins

Scattered multi-source data requires tool calling to support configuring multiple research report pulling channels, to adapt to interface formats from different publishing institutions. Event-driven update cycles require tools to support both scheduled synchronization and event-triggered pulling logic, to avoid data lag. Long documents and structured fields require plugins to have specialized terminology recognition and structured parameter extraction capabilities, to ensure retrieved content accurately matches user queries. Clear unit fields require adding unit verification logic during tool calling, to avoid unit mixing in returned results.

How to Configure Settings

Configuration Item	Recommended Value	Rationale
`Recall count`	Top 8–12 entries	Ordnance equipment research reports have high professional content density per article; too many retrieved entries will exceed the model's context window
`Similarity threshold`	0.75–0.85	Ordnance equipment terminology is highly specialized; low-match irrelevant research report fragments need to be filtered out
`PARSE_FILE_TIMEOUT_SECONDS`	300 seconds	Single ordnance equipment research reports typically contain a large number of structured parameter tables, resulting in long parsing time
`MCP_SERVER_ENABLED`	Enable as needed	Basic research report retrieval does not require mandatory dependency; enable only when calling external defense industry data APIs
`CORS_ORIGINS`	Deploy domain whitelist	Restrict allowed sources when calling `api/v1/chat/completions` externally, to avoid cross-domain errors
`Rerank result count`	Top 3–5 entries	Perform professional content reranking on retrieved research report fragments to reduce interference from redundant information

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. Each situation requires specific analysis. It is recommended to test on samples specific to the deployment before finalizing.

Three Common Mistakes

Calling the api/v1/chat/completions endpoint returns cross-domain related errors, status code 403 or CORS block prompts. The cause is that the CORS_ORIGINS parameter is not configured, or the frontend deployment domain name is not included in the whitelist.
The model returns chat:llm-model-response-empty. The cause is that the retrieved research report fragments do not match valid specialized parameters, or the PARSE_FILE_TIMEOUT_SECONDS setting is too short, resulting in incomplete parsing of the research report.
Tool calling returns mixed units for ordnance equipment parameters, such as range descriptions using both "meters" and "kilometers". The cause is that no plugin rules for field unit verification are configured, or format differences from different publishing institutions are not adapted.

How to Verify Correct Configuration

Call the api/v1/chat/completions endpoint, pass a test query related to ordnance equipment, check if the response headers include the configured CORS allowed origin information.
Upload a single ordnance equipment research report, wait for parsing to complete, then check if the parsed fields include structured content such as equipment models and performance parameters, confirm that the PARSE_FILE_TIMEOUT_SECONDS setting is reasonable.
Initiate a test query, check if the number of retrieved research reports falls within the 8–12 range, confirm that the Recall count configuration is correct.
If external defense industry data plugins are needed, enable MCP_SERVER_ENABLED, then call the test endpoint, check if the latest equipment parameter data can be pulled normally.

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.