What the Data for This Category Looks Like
The financial report data of listed snack food companies comes primarily from periodic reports and temporary announcements publicly disclosed by stock exchanges. Quarterly reports are disclosed within one month after the end of each quarter. Annual reports are disclosed within four months each year. Temporary announcements such as new product launches or channel adjustments are disclosed as events occur. The document structure includes standardized financial statements: balance sheet, income statement, and cash flow statement. It also has an operation analysis chapter that breaks down revenue into segmented categories such as puffed snacks, candy, and baked snacks. It includes unique fields such as online and offline channels, number of distributors, and total SKUs. Data units are primarily yuan or ten thousand yuan. Some reports disclose segmented indicators such as per-store revenue and unit raw material costs.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The unique characteristics of snack food financial reports include segmented category breakdowns, channel and SKU data. These create clear constraints for tool calling and plugin configuration. First, precise filtering parameters must be set for segmented categories. This prevents generic tools from pulling full-category revenue data, which causes analysis bias. Second, the high frequency of temporary announcements requires plugins to support incremental pulling and regular updates. Full repeated parsing wastes resources. Third, unique fields such as the number of distributors and total SKUs must be custom configured in the tool schema. Generic financial report tools cannot automatically recognize these fields. Finally, the operation analysis chapter contains a large amount of semi-structured content. Tools must be configured to support semi-structured data parsing. Relying only on standardized table extraction misses core operating information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_max_depth | 3 | The breakdown hierarchy of snack food financial reports is total revenue → segmented category → single channel. A depth of 3 covers core analysis dimensions, and avoids timeouts caused by excessive depth. |
parse_file_timeout_seconds | 900 seconds | Snack food annual reports include tables with large amounts of SKU and channel data. Parsing takes a long time. The default 600 seconds may be insufficient. |
plugin_trigger_interval | 86400 seconds | Financial report data is updated quarterly. Pulling incremental data daily covers temporary announcements, and avoids repeated calls. |
custom_tool_schema_fields | Calibrated based on actual testing | Snack food financial reports include unique fields such as SKU_count and raw_material_cost_rate. Custom tool schemas must be configured to adapt to these fields. |
context_window_limit | 16000 characters | The operation analysis section of a single quarterly financial report usually exceeds 8000 characters. Reserving sufficient context supports multi-round analysis for tool calls. |
tool_call_retry_times | 2 | Loading temporary announcements may fail due to fluctuations in exchange interface performance. Retrying 2 times improves success rates. |
Three Common Mistakes
- Phenomenon: Tool calls return the
400 InternalError.Algo.InvalidParametererror. Cause: Segmented category parameters unique to snack food are not specified. Generic financial report tool schemas do not include fields such ascandy_revenueandbaked_goods_revenue, leading to failed parameter verification. - Phenomenon: Plugins created online cannot be called in application workflows. The status shows inactive. Cause: The plugin is not associated with the tool configuration list of the corresponding application. Only basic plugin creation is completed, and application binding is not finished.
- Phenomenon: Visual tool calls return empty results, and SKU information on snack food packaging cannot be read. Cause: A dedicated food packaging image decoding model is not configured. Generic visual models cannot adapt to small fonts and multi-element layouts on packaging.
How to Confirm Proper Configuration
- Initiate a tool call with test parameters for snack food segmented categories, and verify that the returned results include revenue data for the corresponding segmented categories.
- Upload a publicly available quarterly financial report of a listed snack food company, and check if the parsed fields include unique fields such as
raw_material_costanddistributor_count. - Add a plugin call node in the application workflow, trigger operation, and check if logs show that plugin parameters are correctly passed without verification errors.
- Simulate interface fluctuations to trigger a tool call, and check if the retry logic is executed according to the configured retry times.
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
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.