Tool Calling and Plugins for E-commerce Service Research

What the data for this category looks like

E-commerce service research report data sources include public industry insights from e-commerce platforms, special surveys from third-party retail and trade data institutions, and operational review reports from brands. The update rhythm follows monthly regular updates, with temporary special reports added before major promotion periods. Documents typically include modules such as overall industry overview, segmented track sales data, user behavior analysis, supply chain cost calculation, and future trend forecasts. Fields include total industry sales, total active SKUs, average customer unit price, user retention rate, and supply chain turnover days, with corresponding units of yuan, units, yuan, percentage, and days respectively.

What constraints do these characteristics impose on tool calling and plugins?

The diverse data sources require tool calling to support permission isolation configuration for multiple data sources, preventing mutual interference between research report data from different brands or platforms. The monthly and temporary update rhythm requires plugins to support incremental pull configuration, reducing resource consumption caused by full pull operations. The multi-module document structure and rich field types require tool calling to support parameters for specifying recalled modules, avoiding returning irrelevant content. The differences in field units and types require configuring field validation rules to ensure the unified and usable format of returned data. The existence of long documents and structured tables requires adjusting parsing timeout and segmentation parameters to avoid parsing failures.

How to Configure Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	E-commerce service research reports usually contain multi-page structured tables, with higher parsing time than general documents
`RECALL_CHUNK_SIZE`	`800–1200 characters`	Cover complete segmented track sales or user behavior paragraphs, avoiding truncation of critical data
`RECALL_TOP_N`	`Top 5–8 entries`	Match the distribution density of core data modules in e-commerce research reports, filtering redundant content
`PLUGIN_API_WHITELIST`	`Only add domains of e-commerce research report data sources`	Isolate access permissions for different data sources, preventing unauthorized calls to external interfaces
`UPLOAD_FILE_MAX_SIZE`	`50 MB`	Adapt to the conventional size of most e-commerce research report PDF and DOCX format documents
`FIELD_VALIDATION_RULES`	`Configure validation rules according to the field types preset by the data source`	Ensure that the returned research report data field formats and units meet expectations, for example, the sales field only accepts numeric types

The parameter values provided on this page are common recommended starting points for configuration. The actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing the settings.

Three Common Misconfigurations

Phenomenon: A 403 Forbidden error is returned when calling the tool, and the corresponding data source can be connected locally via Navicat. Cause: The domain of the e-commerce research report data source was not added to the PLUGIN_API_WHITELIST configuration item, resulting in blocked outbound interface access.
Phenomenon: The DOCX research report pointed to by the URL passed to the plugin cannot be parsed, returning a 400 Bad Request or File not found error. Cause: The URL did not pass whitelist verification, or the server hosting the document set access permission restrictions.
Phenomenon: The returned research report data fields are missing or formatted incorrectly, and do not match the preset query conditions. Cause: The FIELD_VALIDATION_RULES parameter was not configured, and no format validation was performed on the returned research report fields, resulting in invalid data being returned.

How to Verify Successful Configuration

Call the tool test interface, check if the response header returned contains the domain permission identifier corresponding to the configured PLUGIN_API_WHITELIST, to confirm normal outbound access.
Upload a test e-commerce research report DOCX document, check if the parsing progress is completed within the PARSE_FILE_TIMEOUT_SECONDS configuration duration, with no parsing failure logs.
Initiate a research report retrieval query, verify that the length of the returned recalled paragraphs falls within the range configured by RECALL_CHUNK_SIZE, and the number of recalled entries matches the setting of RECALL_TOP_N.
Check the field validation logs to confirm that the returned research report data field formats comply with the preset FIELD_VALIDATION_RULES rules, with no format error prompts.

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.