What the data for this category looks like
Jewelry due diligence report data primarily comes from brand official quality inspection archives, public reports from precious metal testing institutions, supply chain traceability systems, and compliance parameters from e-commerce platform product detail pages. Updates sync with brand new product launches. Quality inspection reports update with each batch delivery. Traceability data syncs in real time during circulation. Most documents are structured tables or JSON with fields. They include material purity, gram weight, set stone parameters, traceability codes, compliance certification numbers, and similar content. There are special requirements for fields and units. Purity uses ‰ as the unit, set stone weight uses ct, and gram weight uses grams.
What Constraints These Characteristics Impose on Tool Calling and Plugins
Jewelry data has numerous structured fields and special units. Tool calling must precisely match field names and unit formats to avoid parameter parsing errors. Real-time synchronized traceability data requires tool calling to support real-time interface pulling, rather than relying solely on static caching. Compliance fields such as precious metal purity certification numbers require mandatory verification. Tool calling must embed compliance verification logic. Multi-batch traceability data requires tool calling to support precise queries by traceability code or batch number, to avoid invalid results from broad searches.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_field_match_mode | Precise field name matching | Jewelry data fields have special units such as ‰ and ct. Precise matching avoids unit parsing errors |
plugin_real_time_fetch_timeout | 300 seconds | Traceability data interfaces may experience delays due to blockchain or testing institutions. 300 seconds covers most synchronization scenarios |
parse_file_schema_strict | Enabled | Jewelry due diligence reports require strict verification of compliance fields such as purity and certification numbers, to prevent unstructured data from being included |
tool_batch_query_limit | Top 10 entries | Jewelry batch data volume is limited. Excessive returns increase parsing pressure |
plugin_unit_convert_enabled | Enabled | Jewelry data uses multiple unit formats such as ‰, ct, and grams. Automatic conversion unifies output formats |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on one’s own samples before finalizing settings.
Three Common Mistakes
- Symptom: The model provider page does not display calling logs, making it impossible to troubleshoot tool calling failures. Cause: The
tool_call_log_enabledconfiguration item is not enabled, or its value is set to disabled. - Symptom: Unable to call the MCP toolset, with the prompt "Toolset code not found". Cause: The source code directory of the MCP toolset is not mounted to the FastGPT plugin loading path, or directory permission configuration is incorrect.
- Symptom: Jewelry purity fields are empty in due diligence reports, or parsed to incorrect values. Cause: The
plugin_unit_convert_enabledconfiguration item is not enabled, and the special ‰ unit format unique to jewelry is not matched, resulting in field parsing failure.
How to Verify Correct Configuration
- Access the model provider page, check for the tool calling log module, and confirm that the
tool_call_log_enabledconfiguration item is enabled. - Upload a structured jewelry quality inspection report file, trigger tool calling, and verify that unit formats for fields such as purity and gram weight are matched precisely.
- Call the MCP toolset to query jewelry data for a specified traceability code, and verify that complete parameters for the corresponding batch are returned.
- Adjust
tool_batch_query_limitto Top 5 entries, initiate a batch query, and confirm that the number of returned results matches the set value.
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.