Tool Calling and Plugins for Other Comprehensive Yield Rates

What data for this category looks like

Data for other comprehensive yield rates is sourced from public APIs of licensed financial information service providers and daily statistical reports from industry self-regulatory organizations. Updates follow a fixed daily schedule. Full datasets for the previous trading day are released early morning on the next trading day only. Data uses a standardized structured JSON format, with five core fields: unique asset identifier, statistical date, yield type classification, corresponding yield value, and data source identifier. Numeric fields use standardized financial units, with no redundant nested layers.

What constraints these characteristics impose on tool calling and plugins

Multiple data sources require configuring multi-source fallback logic in tool calling and plugins. The logic automatically switches to standby data sources when the primary data source API returns an error, preventing task interruptions. Fixed daily update schedules require matching tool scheduling parameters in workflows to the data release window. This avoids sending requests before the full daily dataset is available. Structured JSON format requires the plugin’s output parameter parsing template to strictly bind preset field names. Failing to do so will result in missing fields or parsing errors. The unique asset identifier field requires passing precise parameters during tool calling. Failing to do so will prevent filtering yield data for the corresponding category.

How to set configurations

Configuration Item	Recommended Value	Rationale
`request_timeout`	`300 seconds`	Response delays for licensed financial data APIs typically fall between 2-5 minutes
`auth_type`	`api_key`	This category of data sources universally uses API keys for authentication
`parse_template`	`{"symbol":"$.product_id","date":"$.stat_date","yield":"$.return_rate","source":"$.data_source"}`	Matches the standardized JSON field structure of this category's data
`max_retry_times`	`2 times`	Handles temporary API fluctuations for a single data source, avoiding task termination after a single failed request
`cron_expression`	`0 8 * * 1-5`	Matches the industry data release window at 8 AM on the next trading day
`allowed_fields`	`["product_id","stat_date","return_rate","data_source"]`	Retains only core fields required for business purposes, filtering out redundant 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 specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

Symptom: Returns 400 Bad Request error when passing file-type parameters in an HTTP tool call. Cause: Content-Type is not correctly configured as multipart/form-data, causing file input parameters to not be recognized by financial data APIs.
Symptom: Tool call in the workflow returns an empty dataset. Cause: The trigger time set in cron_expression is earlier than the data release window, resulting in the request not obtaining the full daily yield data.
Symptom: Only the overall workflow configuration file is obtained when attempting to export an individual plugin from the workflow. Cause: The "Exportable Independently" option in the plugin's advanced configuration is not enabled, preventing the plugin from being exported separately from the workflow.

How to confirm proper configuration

Initiate a manual tool call, verify that the returned JSON fields fully correspond to the preset parse_template.
Check the tool call runtime logs to confirm there are no records of authentication failures, timeouts, or field parsing errors.
Pass a test asset identifier parameter, verify that the returned results only include yield data for the corresponding category.
Attempt to export the fully configured plugin, confirm that an independent plugin configuration file can be generated.

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.