What the data for this category looks like
Chemical raw material data sources include industry association public monitoring databases, customs import and export declaration data, compliance testing agency public reports, and production enterprises’ officially disclosed production capacity and pricing information. Update cycles vary: bulk basic chemical raw materials are updated weekly, fine chemical raw materials are updated monthly. Unified document structures include fields such as CAS registry number, purity index, packaging specification, origin traceability, price range, and compliance inspection items. Fields correspond to fixed units: for example, purity is measured in percentage, price in yuan/ton, and packaging specification in kilograms or barrels.
What constraints these characteristics impose on the "tool calling and plugins" workflow
Chemical raw material data sources are scattered and update cycles differ significantly. Tool calling requires separate data source pull rules configured for bulk and fine categories. CAS registry number acts as the unique identifier field, so plugins must use this field as the exact matching parameter during queries, to avoid data mismatches caused by similar product names. Fixed field and unit rules require tool return results to automatically complete unit standardization conversion, ensuring the large model can directly use uniformly formatted values during calls. Additionally, differing update cycles across categories require plugins to have customizable scheduled refresh parameters, to avoid expired cached data or wasted resources from frequent pulls.
How to set the configurations
| Configuration Item | Recommended Approach | Basis for This Setting |
|---|---|---|
tool_call_data_source | Bulk raw materials select "Industry Association Weekly Monitoring Database", fine raw materials select "Enterprise Public Disclosure Database" | Matches the update frequency of the corresponding category to ensure data timeliness |
tool_match_field | cas_number | Unique identifier for chemical raw materials, prevents data mismatches caused by similar names |
tool_response_unit_convert | Enable unit standardization | Fields contain multi-unit values, need to unify to universal formats such as yuan/ton and percentage |
tool_cache_expire_seconds | Bulk raw materials use 604800 seconds, fine raw materials use 2592000 seconds | Corresponds to the update cycle of the category, avoids cached data expiration or data redundancy |
max_tool_call_retries | 2 times | Some data source interfaces have occasional fluctuations, limited retries can improve call success rate |
tool_query_timeout | 30 seconds | Cross-data source pulling requires sufficient response time to avoid timeout interruptions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- A 422 Unprocessable Entity error is returned when calling the DeepSeek R1 tool. Required parameters for tool calling are not configured correctly, such as not passing a valid
api_keyor specifying a non-existent model identifier. - An empty result is returned after executing an SQL statement using a data link tool. SQL syntax requirements of the data source are not followed, such as not specifying the correct table name or using an incompatible query function.
- A 400 invalid image error is returned when calling a multimodal tool to process compliance inspection reports. Image upload parameters that meet the required specifications are not set, or the passed image format is outside the range supported by the tool.
How to confirm the configuration is complete
- Run a tool calling test, check if the returned result fields include the core business fields specified in the configuration.
- View the tool calling logs, confirm that all required items are included in the request parameters, with no missing or incorrectly formatted content.
- Compare the public update time of the data source with the tool cache refresh records, confirm that the update cycle matches the category.
- Simulate an abnormal request, such as passing an invalid CAS number, check if the tool returns a clear prompt for no matching data.
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.