What the data for this category looks like
Public cosmetic data comes from three main sources: official cosmetic filing platforms, brand official product detail pages, and third-party quality inspection agency reports. Data updates trigger when new filed products launch, or when ingredient or quality inspection information for existing products changes. Document structures fall into three categories: structured filing field tables, unstructured quality inspection PDFs, and ingredient list tables. Core fields include filing number, manufacturer name, ingredient name, and net content. Net content units are primarily milliliters (mL) and grams (g). Some special categories such as makeup include additional fields for shade number and makeup effect type.
Constraints on Tool Calling and Plugins From These Data Characteristics
Official filing data sources have call frequency limits. Configure reasonable call frequency parameters to avoid triggering platform rate limiting. Unstructured quality inspection PDFs and ingredient list documents contain nested tables. Use plugins that support complex table parsing to prevent missing ingredient information. Field diversity and unit differences require the tool call’s parameter verification module to support dynamic field matching. Fixed field templates cannot be used. Data updates have no fixed cycle. Configure incremental pull trigger rules to run tool calls only when filing information changes. This reduces invalid requests. In cross-team collaboration scenarios, configure API access permissions separately. Unauthorized calls can cause configuration anomalies.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Average parsing time for a single cosmetic quality inspection PDF, to avoid interrupting the parsing process due to timeout |
REQUEST_RATE_LIMIT | 10–15 requests per minute | Public call frequency limit of official filing platforms, to avoid triggering rate limiting errors |
maxContext | 800–1200 characters | Average text length of cosmetic ingredient lists, to prevent context overflow and information truncation |
INCREMENTAL_SYNC_INTERVAL | 7 days | Regular update cycle of cosmetic filing information, balancing data timeliness and call costs |
CROSS_APP_API_AUTH | Configure by specified application ID | Permission control requirements in cross-team collaboration scenarios, restricting unauthorized applications from accessing data sources |
TABLE_PARSE_ENABLE | Enabled | Cosmetic data contains a large number of ingredient tables; enabling this parameter activates the table parsing plugin |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Calls to filing data source interfaces return empty results or 403 status codes. Cause: Cross-team API access permissions are not configured, so the application cannot access knowledge bases or data source interfaces from non-affiliated teams.
- Phenomenon: Field misalignment or missing information appears in extracted cosmetic ingredient lists. Cause: The
PARSE_TABLE_MAX_DEPTHparameter is not set correctly, or the parameter value is lower than the actual table nesting depth of the document, leading to failed complex table parsing. - Phenomenon: Tool call trigger logic in workflows is fixed, preventing the model from independently choosing whether to call tools. Cause: The autonomous tool decision switch for the workflow is not enabled, or a mandatory call rule is configured, and the model’s independent judgment permission is not enabled.
How to Verify Successful Configuration
- Call the test interface, check the returned status code and field integrity, verify that it matches the configured
REQUEST_RATE_LIMITparameter, and adjust the interval to avoid rate limiting errors. - Upload a single cosmetic quality inspection PDF, check if the parsed ingredient table is complete, and verify that the
PARSE_TABLE_MAX_DEPTHparameter matches the document’s nesting depth. - After configuring cross-team API permissions, use an application key from a non-affiliated team to initiate a call, verify that a permission intercept is triggered, and confirm that the authorization scope is correct.
- Start a workflow test, trigger a tool call scenario, check if the model can independently choose whether to call tools, and verify that the autonomous decision switch is enabled.
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.