What this category of data looks like
Ledger data for building construction general contracting comes from business documents including project construction logs, material delivery acceptance receipts, progress declaration reports, safety inspection records, and other related materials. Data is updated daily with real-time data for same-day construction and material deliveries. Weekly ledger aggregation is completed each week. Data is stored in structured format, split by project and section. Fields include project number, section number, material category, delivery batch, actual usage, construction team, and inspection date. Units include cubic meters, tons, square meters, work days, and others.
Constraints imposed on tool calling and plugin workflows
Ledger data for building construction general contracting originates from multiple heterogeneous business systems. Tool calling plugins must connect to multiple data sources and adapt to field format differences across systems. Parameter validation logic must cover multiple sets of field rules. The high-frequency data update feature requires that tool call trigger timing aligns with data update windows, to avoid calling outdated data that has not completed updating. The large number of ledger entries per single section requires setting a reasonable upper limit on the number of entries returned per tool call, to prevent exceeding context capacity. The strict requirements for project accounting compliance mean that tool call results must undergo field integrity checks, to ensure returned data adheres to business standards.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to multi-data-source connection scenarios, automatically matches the corresponding ledger retrieval tool |
functionCall | [{"name":"fetch_construction_ledger","parameters":{}}] | Specifies calling the dedicated building construction ledger retrieval tool, matches the project data structure |
| Single tool call timeout | 300 seconds | Accommodates large data volume loading requirements for project ledgers, prevents call interruptions due to incomplete data return |
| Maximum number of tool call return entries | Top 200 entries | Matches the typical entry scale of ledgers for single-section building construction projects, avoids exceeding context capacity |
| Context window reserved ratio | 20% | Reserves sufficient space to process structured data returned by tools, prevents context overflow |
| Tool call retry count | 3 | Adapts to unstable scenarios in project data loading, reduces the probability of single call failure |
functionCall parameter validation | Enabled | Ensures call parameters comply with the field format requirements of building construction ledgers, reduces the probability of invalid calls |
Three Common Misconfigurations
- Symptom: Tool call returns empty results, with the interface displaying no valid output. Cause: Dedicated tool call parameters matching building construction project ledgers are not configured, so the large language model cannot generate correct call instructions.
- Symptom: When calling MCP services, the
typeparameter is forcefully converted to string type. Cause: Custom parameter type support is not enabled in plugin configuration, the platform enforces uniform parameter format by default. - Symptom: The tool call module cannot reference retrieval results after connecting to the knowledge base in the workflow. Cause: The knowledge base retrieval output is not used as the context input parameter for tool calls, so the module cannot obtain associated data.
How to Verify Correct Configuration
- Initiate a test call for a single-section building construction project ledger, enter preset project number and section number, check if the tool returns structured data matching the preset fields.
- View FastGPT v4.17.0 platform logs, confirm that
toolChoiceandfunctionCallparameters are executed as configured, with no parameter type forced conversion error messages. - After triggering the tool call, check that the number of returned entries does not exceed the configured upper limit, with no redundant data beyond the set range.
- Test disabling streaming output, confirm that the tool call result is returned completely in one go, with no segmented push prompts.
The values provided here are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.