What data for this category looks like
Data sources include public equipment procurement bidding platforms, manufacturer direct supply quotation systems, and daily transaction data from supply chain financial service institutions. Data is updated daily in the early morning, with full data for the previous calendar day. This follows a T+1 daily report format. Data is stored in structured JSON or CSV format. Fields include equipment category, brand model, daily reference purchase unit price, bulk purchase discount range, financing application response duration, and financing disbursement cycle. Units are unit, yuan/unit, hour, and calendar day respectively. Data is segmented by equipment category, covering common computer equipment types such as servers, desktops, and storage devices.
Constraints for Tool Calling and Plugins
Since data is segmented by category and updated daily, tool calling must support category filtering parameters, and pull latest data on a scheduled daily basis. Cached data older than 24 hours must not be used. The dynamic link between equipment purchase unit price and discount range requires tool calling to calculate actual purchase costs synchronously, instead of only using static quotation fields. Fields related to financing are linked to financial service interfaces. Plugins must support cross-data source calls, and complete both equipment data pulling and financial parameter queries. Field differences across multiple equipment categories require parameter validation in tool calling to adapt to required fields for different categories, avoiding invalid requests.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
data_sync_cron | 0 1 * * * | Matches the daily early morning update schedule for equipment data, aligning with the T+1 daily report update frequency |
tool_request_timeout | 300 seconds | Covers typical response durations for supply chain finance and manufacturer quotation interfaces, preventing timeout interruptions to calls |
filter_categories | servers,desktops,storage devices | Limits target computer equipment categories, eliminating redundant data from unrelated categories |
pagination_size | 20 items per page | Balances data pulling efficiency and single request load, adapting to pagination display needs for multi-category equipment |
cross_api_auth_type | API_KEY authentication | Adapts to the common authentication method for supply chain finance and manufacturer quotation systems, reducing access complexity |
response_parse_schema | Split field mapping by category | Adapts to field differences across equipment categories, unifying the format for parsing returned data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. Testing on local samples is recommended before finalizing values.
Three Common Mistakes
- Calling tools without streaming response, only returning full results. Cause: The
stream_responseconfiguration item is not enabled, causing the plugin to only return full data synchronously, without supporting segmented output. - Obsolete equipment financing data returned by tools, not updated for over 24 hours. Cause: The
data_sync_cronconfiguration is incorrect, failing to trigger data pulling at the early morning daily schedule, using cached old data. - Incompatibility with NPX protocol when connecting third-party MCP tools, only supporting SSE protocol. Cause: The current plugin system only includes a call adapter for the SSE protocol, and does not integrate an NPX protocol conversion module, so it cannot directly support MCP access in non-SSE format.
How to Verify Correct Configuration
- Check data synchronization logs for new pulling records of equipment financing daily report data each early morning, and verify pulled categories include target computer equipment types.
- Initiate a tool call, check that returned result fields match the configured
response_parse_schema, with no missing or formatting errors. - Test cross-data source calls, confirm that requests pulling both equipment quotation and financial financing data can complete normally, with no authentication or timeout errors.
- Enable session context testing, initiate two consecutive tool calls, confirm that the second call can obtain the result from the first call as a reference basis.
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.