What Data for This Category Looks Like
Cybersecurity research report data mainly comes from public CVE databases, third-party security vendor announcements, industry compliance inspection documents, and self-developed security scan reports. Data updates are event-triggered. CVE data syncs daily, and vendor emergency announcements are pushed in real time. Document structures include fixed fields such as vulnerability ID, affected asset scope, attack vector, CVSS score, and repair patch link. CVSS scores use a 0–10 scale. Vulnerability levels are divided into three categories (high, medium, low) based on scores. Individual document word counts range from hundreds to tens of thousands of words.
How These Characteristics Impact Tool Calling and Plugins
Multi-source heterogeneous data sources require tool calling plugins to support multiple API interface adaptations and unified field mapping, to avoid format confusion during cross-source retrieval. Standardized fields such as CVSS scores and vulnerability IDs require precise field matching rules to be configured during tool calling, to ensure retrieval results strictly correspond to query conditions. The wide range of document lengths requires the context processing module of tool calling to adapt to long-text segmented recall, to avoid content truncation caused by exceeding window limits. Real-time updated data sources require plugins to support incremental pull logic, to reduce resource consumption from full synchronization. The strong correlation of security data requires joint retrieval using multiple fields during tool calling, to avoid irrelevant results from single-condition retrieval.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_timeout | 120 seconds | APIs associated with cybersecurity research reports mostly come from external security data sources, with higher response delays than general document retrieval. 120 seconds covers the return duration of most conventional APIs |
recall_top_k | Top 8–12 entries | Cybersecurity research reports have higher precision requirements. 8-12 entries balance recall coverage and result redundancy |
field_matching_threshold | 0.85–0.95 | For strongly matched fields such as vulnerability IDs and CVSS scores, this range filters low-relevance retrieval results |
max_context_length | 8000–12000 characters | Individual cybersecurity research reports can be up to tens of thousands of words long. This range adapts to context window limits after most segmented recalls |
api_request_interval | 1–3 seconds | Most public security data sources have call frequency limits. This interval avoids triggering current-limiting errors |
incremental_sync_enabled | Enabled | Real-time updated security data requires incremental synchronization to reduce resource usage and ensure retrieval timeliness |
The parameter values provided on this page are common recommendations for establishing configuration starting points. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The database query plugin returns a missing
tool_callsfield or a400 Bad Requestrelated error. Cause: No mapping relationship between database tables and research report fields is configured, causing the tool to fail to parse the field format of the target data. - Phenomenon: The number of retrieval results returned after tool calling is far lower than expected, or does not include the latest security vulnerability information. Cause:
recall_top_kis configured to an excessively low value, or the incremental sync switch is not enabled, resulting in failure to recall all relevant research reports. - Phenomenon: No output results are generated after calling the tool plugin in a local deployment environment. Cause: Outbound API permissions for the local deployment environment are not opened, making it impossible to connect to external security data sources or database services.
How to Confirm the Configuration Is Complete
- Enter the tool management page, run the connectivity test for the configured security data source plugin, and confirm that normal test data entries are returned.
- Submit a query request containing a clear vulnerability ID, and check whether the returned results include the preset mapped field content.
- Manually trigger an incremental sync task, check whether the sync log generates update records, and confirm that the incremental logic is effective.
- Adjust
tool_call_timeoutto a short duration of 10 seconds, verify whether a reasonable timeout error is triggered, and confirm that the timeout configuration is working correctly.
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.