What this category of data looks like
Tender announcement data primarily comes from government procurement websites at all levels, public resource trading centers, and industry-specific tender platforms. Update frequency aligns with platform release schedules: most platforms update daily with newly released announcements, while some urgent projects are pushed in real time. The document structure has a high degree of standardization, typically including fields such as tender number, project name, information of the tenderer and agency, budget amount, bidding qualification requirements, bidding deadline, bid opening location, and contact information. Budget amounts are denominated in RMB yuan, and time fields are precise to the year, month, and day.
What constraints these characteristics impose on tool calling and plugins
Multi-source data sources require plugins to adapt to interface formats and anti-crawling rules of different platforms, and require configuration of multi-source crawling priorities and incremental pull logic. The real-time or high-frequency update characteristic requires tool calling to set reasonable scheduled task intervals to avoid excessive resource usage caused by repeated full data pulls. Although fields are standardized, subtle differences exist, requiring plugins to have built-in field mapping rules to unify similar fields from different platforms into a standard format. Differences in budget amount units and formats require plugins to have built-in unit conversion and format verification logic to ensure consistency in subsequent processing.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
multi_source_fetch_enabled | true | Adapt to multi-platform tender announcement data sources and cover all tender information |
incremental_fetch_interval | 300 seconds | Balance data timeliness and resource usage, suitable for high-frequency updated tender announcements |
field_mapping_template | Built-in standard tender field template | Unify field differences across different platforms and reduce subsequent processing costs |
budget_unit_check | Enabled | Verify and convert budget amount unit formats to ensure data consistency |
fetch_timeout | 60 seconds | Adapt to interface response times of most platforms and avoid interrupting crawling due to timeouts |
max_retry_times | 3 times | Handle temporary interface fluctuations and reduce crawling interruptions caused by single request failures |
The parameter values provided on this page are common recommended starting points for 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 mistakes
- Symptom: After calling the tool, content unrelated to tender announcements is returned, such as general procurement knowledge without details of specified projects. Cause: The
field_mapping_templateis not configured, and the tool does not map fields from different platforms, resulting in the recall of irrelevant data from non-target fields. - Symptom: Connection errors occur when calling the MCP service from a locally deployed model, with error messages containing
ECONNREFUSEDor404 Not Found. Cause: The locally deployed model is not configured with the correct MCP service address and port, or local network restrictions block access to the MCP service. - Symptom: Calling the knowledge base interface returns empty results or unexpected content, and the latest tender announcement data cannot be obtained. Cause: The
incremental_fetch_intervalis not set, or the interval is too long, causing the knowledge base to fail to synchronize the latest tender announcement data in a timely manner.
How to confirm the configuration is complete
- Initiate a test crawl, check whether the returned tender announcement fields match the preset standard fields, and confirm that the field mapping configuration is effective.
- Check the scheduled task logs to confirm that the incremental pull execution interval meets expectations, with no duplicate or missing crawl records.
- Simulate a locally deployed model calling the MCP service, verify the connection status and correctness of query results, and confirm that network and configuration parameters are correct.
- Trigger a knowledge base recall test, check whether the returned tender announcement data includes newly released content, and confirm that the update logic is working properly.
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.