What This Category of Data Looks Like
Engineering consulting data primarily comes from internal project ledgers, public bidding announcement platforms, qualification management systems, on-site survey reports, and compliance review documents. Data update rhythms adjust based on project progress and compliance requirements, with no fixed cycle. Single project documents are lengthy, often containing multiple pages of compliance clauses and detailed data. Core fields include project ID, project type (e.g., architectural decoration engineering consulting), client entity, budget amount (unit: ten thousand yuan), project duration (unit: calendar days), participant qualification level, and compliance clause list. Field formats must comply with industry regulatory requirements.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
Engineering consulting data is scattered across multiple independent systems. Multiple plugins are required to connect to different data sources, which demands plugins support parallel calls to multiple services. Data updates have no fixed cycle. Tool calling must support incremental synchronization and on-demand pulling to avoid excessive resource usage from full data pulls. Single documents are lengthy, so tool calling must support long text parsing and segment processing to prevent key compliance clauses from being truncated. Fields have industry-specific units and format requirements. Tool calling must include built-in unit verification logic to avoid invalid data caused by format errors.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MCP_SERVICE_TIMEOUT | 1200 seconds | Complex engineering consulting transactions (such as multi-project data aggregation and bulk compliance clause verification) take a long time. The default 90-second threshold does not cover these requirements |
PARSE_FILE_MAX_CHARS | 8000–12000 characters | Single segments of engineering consulting compliance reports and project documents are lengthy. This setting avoids truncating key regulatory clauses |
RECALL_TOP_K | Top 3–5 results | Engineering consulting marketing content needs to accurately match project types and qualification requirements. Too many recall results will distract target audiences |
MCP_MULTI_SERVICE_ENABLE | Enabled | Engineering consulting data is scattered across multiple systems including bidding, ERP, and qualification management. Multiple plugins must be used in parallel to connect to these systems and obtain complete data |
VALIDATE_FIELD_UNIT | Enabled | Engineering consulting data uses specific units (such as ten thousand yuan, calendar days). Enabling this configuration verifies field formats and prevents invalid data from being returned |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When calling a custom MCP service to process multi-project data aggregation, an
MCP_SERVICE_TIMEOUTerror is returned, and the request terminates early. Cause: Complex transaction processing for engineering consulting exceeds the default 90-second threshold, and theMCP_SERVICE_TIMEOUTconfiguration was not adjusted. - Phenomenon: Budget fields in project data returned by tool calls are empty or have incorrect formats. Cause: The
VALIDATE_FIELD_UNITconfiguration was not enabled, and the unique unit format of engineering consulting data was not verified, leading to invalid data being returned. - Phenomenon: Recalled marketing content includes irrelevant municipal engineering or water conservancy engineering data. Cause: The
RECALL_TOP_Kvalue is too large, or recall results were not filtered by target project type, resulting in redundant data being included.
How to Confirm Configuration Is Complete
- Initiate a test call that includes multi-project data aggregation, and verify the returned result is within the expected time frame with no timeout errors.
- Upload an engineering consulting compliance report, and verify parsed fields include correct unit information and no key content is truncated.
- Configure multiple MCP services to connect to different data sources, initiate a cross-system data integration call, and verify project data from each system can be properly obtained and integrated.
- Initiate a marketing content matching test, and verify recalled results only include data relevant to the target category with no irrelevant content included.
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.