Tool Calling and Plugins for Diversified Financial Marketing

What the data for this category looks like

Data related to diversified financial marketing mainly comes from official disclosure platforms of licensed non-bank financial institutions and compliant third-party data interfaces. Update rhythms vary: public fund products update unit net value and cumulative net value daily; private funds and trust plans disclose operational data quarterly; compliant promotional documents required by regulators are updated quarterly. The document structure is a structured dataset. A single record includes fields such as product code, unit net value, cumulative net value, management fee rate, custody fee rate, establishment date, and compliant promotional script template. Field units are uniformly yuan, percentage, and standard date format.

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

The data characteristics of diversified finance impose multiple constraints on the tool calling and plugins link. The differing update frequencies of different products require that tool calling be configured with multi-cycle trigger rules, distinguishing between daily pulls for public fund products and quarterly pulls for private fund and trust products. Fields include numeric fee rate and net value data as well as compliant script templates, requiring that parameter validation for tool calls support multiple data types to avoid call failures caused by type mismatches. The fixed template requirement for compliant promotional scripts requires that content returned by tool calls cannot arbitrarily alter fixed compliant fields, and must associate with a knowledge base to validate script compliance to avoid violating regulatory requirements.

How to configure

Configuration Item	Recommended Setting	Rationale
`mcp_param_type`	Dynamically configurable to support `string`/`number`/`boolean`, not forced to `string`	Adapts to type requirements for different fields such as net value and fee rate in diversified financial product data, avoiding type validation failures
`stream_tool_output`	`false`	Disables streaming output, adapts to scenarios where marketing content generation requires complete returned results, avoiding broken compliant scripts from segmented output
`tool_call_bind_kb`	Set to `true` and specify the compliant knowledge base association ID	Allows the tool calling module to reference compliant marketing script templates in the knowledge base, ensuring content meets regulatory requirements
`tool_call_timeout`	`600 seconds`	Meets the time consumption requirements for pulling data from multiple diversified financial data sources, avoiding timeout interruptions due to large data volumes
`max_tool_retry_count`	`2 times`	Addresses occasional interface fluctuations from non-bank financial data sources, ensuring tool calling success rate
`tool_schema_strict_mode`	`true`	Validates the completeness of product data fields returned by tools, ensuring parameters used in marketing content comply with regulatory requirements

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

Phenomenon: When deploying the tool calling MCP service for FastGPT version 4.9.6, an invalid parameter type error is returned, and only string type inputs are accepted. Cause: The mcp_param_type parameter is not configured, and the default setting forces use of the string type, failing to adapt to validation rules for numeric fields such as product net value and fee rate in diversified financial products.
Phenomenon: After connecting a knowledge base to the tool calling module in a workflow, the generated marketing content does not reference compliant scripts in the knowledge base. Cause: The tool_call_bind_kb configuration item is not enabled, or the correct knowledge base association ID is not specified, causing the module to fail to pull preset compliant templates.
Phenomenon: The tool calling module in the workflow does not trigger execution, and the interface displays a status of no tool call. Cause: The tool_call_trigger_mode parameter is not configured, or the trigger conditions for the workflow node are not set correctly, causing the module to fail to start calls according to rules.

How to confirm the configuration is correct

Enter the FastGPT tool management page, view the configuration details of the corresponding MCP service, and confirm that mcp_param_type has been set to the type adapted to the target product fields.
Run a tool calling test for a single public fund product data set, check whether the field types and formats of the returned results meet expectations, and there are no invalid parameter type errors.
Add a tool calling node in the workflow, bind the specified compliant knowledge base, run a test case containing product data, and confirm that the generated marketing content includes compliant script fragments from the knowledge base.
View the tool calling log records, confirm that the tool_call_timeout configuration is in effect, and there are no call failure records caused by timeout.
Test by disabling the streaming output configuration, run a tool calling task, and confirm that the returned result is complete non-segmented text, with no segmented markers from streaming output.

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.