Tool Calling and Plugins for Kitchen and Bathroom Appliance

What Data for This Category Looks Like

Financial report data for kitchen and bathroom appliances comes primarily from publicly disclosed periodic reports of listed companies on the Shanghai and Shenzhen Stock Exchanges, and publicly available industry statistical data. The disclosure schedule is fixed: within 15 working days after the end of the quarterly reporting period, and within four months after the end of the annual reporting period. A single financial report document includes sections such as consolidated financial statements and discussion and analysis of operating conditions. Data related to kitchen and bathroom appliances is scattered across subsections including main business by product, main business by channel, and R&D investment. Fields include main business revenue, shipment volume, period expenses, and more. Units for revenue and expense fields are ten thousand RMB, and units for shipment volume fields are ten thousand units.

Constraints for Tool Calling and Plugins

Financial report data is scattered across multiple subsections. Tool calling must accurately locate fields for the target category to avoid scraping irrelevant industry macro data. The disclosure cycle is fixed, so scheduled plugin pulls must align with the disclosure schedule and avoid high-frequency calls. There are many subfields for product breakdowns, so tool calling parameters must support specifying kitchen and bathroom appliance subcategories such as range hoods, cooktops, and dishwashers to adapt to category splitting requirements. Single financial report documents are lengthy, so tool calling must configure a long text parsing threshold to avoid truncating valid data.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`TOOL_CALL_MAX_RETRIES`	`2–3 times`	There are many data fields in kitchen and bathroom appliance financial reports. Tool calls may retry due to parameter matching failures. 2-3 retries balances success rate and time consumption
`PARSE_SEGMENT_LENGTH`	`800–1200 characters`	Product breakdown sections in financial reports typically fall within this length. Segmented parsing can accurately locate target fields and avoid losing context across paragraphs
`PLUGIN_TRIGGER_MODE`	`Trigger by disclosure cycle`	Financial reports for kitchen and bathroom appliances are disclosed quarterly and annually. Triggering by cycle avoids invalid calls and reduces resource consumption
`MAX_CONTEXT_TOKENS`	`16000–32000`	The context after parsing a single financial report is lengthy. This range adapts to long text processing requirements and avoids content truncation
`FILE_PARSE_TIMEOUT`	`600 seconds`	Parsing large annual report documents takes significant time. 600 seconds covers the complete parsing process
`TOOL_PARAM_FILTER`	`Filter by kitchen and bathroom appliance subcategories`	Financial reports include data for multiple categories. Filtering allows accurate extraction of target category fields such as revenue and shipment volume

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

Three Common Mistakes

Phenomenon: After configuring keyword interception rules, the custom interface does not receive requests, and the interface displays the PLUGIN_REQUEST_DENIED log. Cause: The domain name of the custom interface was not added to PLUGIN_ALLOWED_DOMAINS, triggering the permission interception mechanism.
Phenomenon: Calling a workflow to process financial report data returns a 400 Bad Request error, and the returned field extracted_data is empty. Cause: The product_type parameter was not specified as a kitchen and bathroom appliance subcategory in the tool calling parameters, causing the model to extract financial report data for irrelevant categories.
Phenomenon: The Gemini model returns the INVALID_FUNCTION_PARAMS error code when calling a tool. Cause: Tool parameters were not defined in accordance with Gemini's function call specifications, and the standard name and parameters field structure was not used.

How to Verify Proper Configuration

Upload a quarterly financial report document of a listed kitchen and bathroom appliance company, check the parsed segmented content, and confirm that paragraphs are split according to the configured segment length.
Trigger a plugin call, check if the log includes the TOOL_CALL_SUCCESS marker, and confirm that the returned data only contains fields related to kitchen and bathroom appliances.
Call the workflow test interface, confirm that the returned extracted_data field includes expected category data such as revenue and shipment volume.
Configure a scheduled trigger task, confirm that the plugin automatically pulls data after the financial report disclosure cycle in accordance with the configured trigger mode.

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.