What the data for this category looks like
Listed construction machinery companies’ financial report data mainly comes from publicly disclosed periodic reports and public industry statistical datasets. Updates follow fixed quarterly and annual disclosure schedules, with temporary announcements updated irregularly for major business changes. Document structures include structured financial statement sections, management discussion and analysis modules, and detailed business operation notes. Fields cover core financial indicators and segmented business operation data, mostly using currency units or equipment quantity units. Naming conventions for fields vary across different reporting entities.
Constraints on Tool Calling and Plugins
Differences in field naming across financial report data require custom entity mapping rules to be configured during tool calling, to adapt to the naming habits of different reporting entities. Mixed structured reports and unstructured discussion content in document structures require tools to support both tabular data extraction and long-text semantic parsing, which places higher requirements on context window configuration. Fixed disclosure schedules can be paired with the scheduled task capabilities of tools, but request rates must be controlled during disclosure windows to avoid triggering access restrictions from public data sources. Irregular updates to temporary announcements require plugins to support dynamic data source loading, without requiring pre-configured fixed data source addresses.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_max_retry | 2 attempts | Field recognition errors are common in financial report data parsing. A small number of retries can improve accuracy and avoid triggering rate limits from frequent retries |
maxContext | 8000–12000 characters | The management discussion and analysis module of construction machinery financial reports is usually lengthy. Sufficient context retains complete business operation descriptions |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Structured parsing of large financial report files takes significant time; this avoids early timeout leading to parsing failure |
tool_allow_custom_entities | Enabled | Naming conventions for financial report fields vary across different reporting entities. Custom mapping improves data extraction accuracy |
plugin_schedule_cron | 0 0 9 15,45 * * | Matches the quarterly report disclosure windows for listed construction machinery companies, automatically triggering analysis tasks |
request_rate_limit | 10 requests per minute | Adapts to access frequency limits of public financial report disclosure platforms, avoiding access interception |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: API calls return a
514status code. Cause: Therequest_rate_limitparameter is not configured, and the request rate exceeds the access limits of public financial report data sources, triggering access interception. - Symptom: Scheduled plugins trigger calls continuously outside business hours, consuming account balance. Cause: The
plugin_schedule_cronexpression is not configured correctly, and the scheduled rule does not match the financial report disclosure window, resulting in invalid calls. - Symptom: Tool call results mix knowledge base recall content. Cause: The global knowledge base recall switch is not turned off in the tool call configuration, causing both knowledge base retrieval and tool call to be triggered simultaneously, resulting in mixed results.
How to Verify Proper Configuration
- Execute a single financial report parsing tool call, compare the returned structured data fields with the public financial report content of the target reporting entity, and adjust the custom entity mapping rules until they match.
- Check the plugin scheduling log to confirm that the trigger time matches the preset financial report disclosure cycle, verifying the accuracy of the scheduled configuration.
- Simulate continuous requests, observe whether access interception errors are triggered, and adjust the request rate limit configuration until requests execute stably.
- Initiate a single-round conversation test to confirm that only one plugin selection pop-up is triggered, verifying the effectiveness of the single-call configuration.
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.