Document and Material Drafting for Urban Investment Platforms: Tool Calling and Plugins

What the data for this category looks like

Core data for urban investment platforms comes from their own project ledgers, local government approval documents, urban investment bond prospectuses, and government disclosure bulletin files. Data update rhythm is adjusted according to project progress, with real-time updates for major project milestones and monthly updates for routine ledgers. Document structures are mostly structured application materials, standard letters, and announcement drafts, including fields such as project name, implementing entity, investment amount, construction period, funding source, etc. Investment amount is in ten thousand Chinese yuan, construction period is in months or years, and some documents include official document numbers and release dates.

What constraints do these characteristics impose on the tool calling and plugins workflow

Urban investment platforms have numerous structured fields with fixed formats. Tool calling must strictly match preset field mappings; generalized extraction cannot generate compliant documents. Real-time updated project data requires plugins to call local ledger interfaces to avoid using expired cached data. Standard letters have fixed writing specifications; after tool generation, a format verification plugin must be called to match official template requirements. Content involving government compliance requires calling a compliance verification plugin to ensure documents meet local policies and disclosure requirements. Additionally, for unpublished internal data, a permission verification plugin must be called to limit the scope of tool calling and prevent information leakage.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

| toolChoice | auto | Adapts to tool calling requirements for different document types, automatically selecting matching function calling logic |

| functionCall | Triggered per preset template | For standard application letter scenarios, fixed calls to format generation and compliance verification plugins |

| Single tool call timeout | 60 seconds | Most routine data queries for urban investment platforms involve local ledger interfaces, and 60 seconds covers most common query scenarios |

| Tool call retry count | 2 times | Avoids call failures caused by temporary network fluctuations and reduces invalid request occupancy |

| Format verification plugin switch | Enabled | Urban investment documents must comply with official writing specifications; enabling this allows automatic verification of format compliance |

Three Common Misconfigurations

• When calling MCP tools with the Xinference large model, a 400 status code error is returned. The permission mapping between the large model and MCP tools is not configured, preventing the model from correctly generating required tool calling instructions.
• When calling the Claude4 model deployed on Bedrock, a software.amazon.awssdk.services.bedrockruntime.model.* related error is returned. The signature key and region parameters for model calling are not correctly configured, causing interface requests to fail AWS identity verification.
• The interface returns the aiPointsNotEnough field. The current account's AI points are insufficient to cover the total consumption quota for this tool call and model inference.

How to Verify Proper Configuration

• Initiate a standard letter drafting test to verify whether the tool automatically invokes the format verification plugin and returns verification results.
• Call the local ledger data query tool to confirm that the returned fields fully match the preset fields in the urban investment platform's project ledger.
• Check the account point balance to confirm that the remaining points exceed the estimated consumption for this tool call and model inference.
• View the tool call log to confirm that all triggered plugins are preset compliance-related tools for urban investment platforms.

The values provided 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.