Tool Calls and Plugins for Optoelectronics Industry Yield

What the data for this category looks like

Data for this category primarily comes from domestic stock exchange industry sector market APIs, official optoelectronics industry index APIs, and daily trading disclosure data for component stocks. The update schedule for daily market data is as follows: component stock trading data is compiled between 15:30 and 17:00 on the same day after market close, while industry index daily data updates in the early morning of T+1. Data is provided in JSON format, with the root node containing a data_list array. Each data entry includes the following fields: trade_date (transaction date), index_code (index code), closing_price (closing price, unit: RMB yuan), daily_volume (daily trading volume, unit: 10,000 shares), component_count (number of component stocks), avg_market_cap (average market capitalization, unit: 100 million yuan). No percentage-based fields are included.

Constraints on tool calls and plugins

The multi-source nature of optoelectronics industry data requires tool calls to distinguish between industry index and component stock APIs, and strictly align with update time windows to avoid requesting same-day data that has not been fully compiled. Clear unit requirements for fields mean plugins must preset standardized field mapping rules to prevent calculation deviations caused by unit mismatches. Call limits vary across different data sources; some interfaces only support 1 request per second, so reasonable request intervals must be configured. Additionally, the fixed number of industry component stocks means pagination parameters for tool calls must adapt to a fixed range, with no need for dynamic adjustment of pagination thresholds.

How to set configurations

The following table lists recommended configuration values and their rationales:

Configuration Item	Recommended Value	Rationale
`tool_request_interval`	`1000 milliseconds`	Some optoelectronics industry data source interfaces only support 1 request per second; this configuration avoids triggering rate limits
`data_source_scope`	`industry_index + component_stock`	The daily report for this category requires coverage of both industry index and component stock data to cover all information dimensions
`update_trigger_window`	`17:00-09:00 next day`	Component stock data is compiled before 17:00 on the same day, and industry index data updates in the early morning of T+1. This window ensures access to the latest complete data
`field_mapping_rule`	`fixed_unit_matching`	Data fields for this category have clear units (yuan, 10,000 shares, 100 million yuan); preset matching rules are required to prevent calculation deviations
`plugin_exec_timeout`	`600 seconds`	Parallel requests across multiple data sources may cause delays; this configuration reserves sufficient response time
`request_retry_times`	`3 times`	Some data sources may experience temporary fluctuations; retries reduce the probability of single call failure

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.

Three common errors

Phenomenon: A 404 Not Found error is returned when calling a local MCP service, or a prompt stating "unable to connect to the local service" appears. Cause: Local network access permission is not enabled in the FastGPT plugin configuration, or the listening port of the local MCP service is not open to external access.
Phenomenon: After configuring tool calls, the conversation interface only returns tool call results and does not show intermediate thought processes. Cause: The enable_think_step parameter is not enabled, or the model system prompt does not require outputting thought chain content.
Phenomenon: Numerical unit mismatches appear in the generated daily report, such as directly displaying closing prices and trading volume concatenated together. Cause: The field_mapping_rule parameter is not configured, and standardized mapping is not performed for the units of different fields.

How to confirm configuration is correct

Trigger a tool call, check if the returned JSON data fields include preset fields such as trade_date and closing_price, and that the field units match the configured mapping rules.
Check the plugin's request logs to confirm that the interval between two tool calls is not less than the configured tool_request_interval value, and no rate limit error is triggered.
View the conversation content output by the model, confirm that it includes an intermediate thought process if enable_think_step is enabled, and that no unit mismatch issues appear in the results.
Initiate a call request during a non-window period, confirm that the system prompts that data has not been fully updated, which complies with the configured update_trigger_window rules.

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.