Tool Calling and Plugins for Precious Metals Marketing

What the data for this category looks like

Core data for precious metals marketing content comes from official trading platforms and industry quote providers, including publicly available market data from domestic and international precious metals trading venues. Real-time market data updates every 10 to 30 seconds. Data dimensions such as deferred fees and open positions update daily after market close. Each market quote document includes fields such as product identifier, quote unit, latest transaction price, price change percentage, daily opening/closing price, cumulative trading volume, and open position count. Common units are yuan/gram, USD/ounce, or kilogram. Industry research report documents include market analysis, supply and demand data, and policy interpretations, with a fixed structure split into three parts: summary, core data, and risk warnings.

What constraints these characteristics impose on tool calling and plugins

The real-time requirements for precious metals market data mean tool call response delays must be kept under 30 seconds. Otherwise, real-time marketing content generation cannot be supported. Differences in quote units require configuring unit conversion rules during tool calls to adapt to domestic and overseas market units such as yuan/gram and USD/ounce. Daily updated deferred fee and open position data require scheduled data synchronization for tool calls, avoiding the use of static cached content. The fixed format of structured market quote fields requires tool call result parsing rules to match field names and order, ensuring core values can be directly extracted for marketing content.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`tool_call_timeout`	`30 seconds`	Matches the update frequency of precious metals real-time market data, prevents insufficient timeliness of marketing content due to timeouts
`tool_cache_ttl`	`300 seconds`	Adapts to the 10-30 second update cycle of real-time market data, avoids outdated cached data affecting content accuracy
`tool_param_schema`	Configure parameter validation rules using "product identifier + query time period"	Clarifies the query dimensions for precious metals market data, prevents returning irrelevant cross-product data
`unit_conversion_rule`	Configure a standard conversion coefficient for "USD/ounce → yuan/gram"	Unifies quote units for domestic marketing content, aligns with user reading habits
`tool_batch_size`	`1-3 products`	Matches scenarios where a single marketing piece typically focuses on 1-2 core products, avoids excessive calls that increase latency
`tool_error_retry_count`	`2 retries`	Addresses occasional fluctuations in market data APIs, reduces the probability of tool call failures

The parameter values provided on this page are general recommendations used as a starting point 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 Mistakes

Phenomenon: Tool calls return {"name":"invalid_tool"} or no tool call response content. Cause: The dedicated precious metals market data tool is not bound, or the tool's unique identifier configuration does not match the call parameters.
Phenomenon: Intermediate results from multiple knowledge base calls in the workflow are included in the final reply. Cause: The hide_intermediate_steps configuration item is not enabled, or the configuration value is false.
Phenomenon: Tool calls return 504 Gateway Timeout error. Cause: The tool_call_timeout configuration value is set too short, failing to cover the normal response duration of the market data API.

How to Verify Proper Configuration

Initiate a query for a single precious metal product, check that the fields returned by the tool call match the configured tool_param_schema.
Review tool call logs, confirm that the cache duration aligns with the real-time data update cycle, and no outdated data occurs.
Test parallel calls for multiple products, check that the tool call response delay does not exceed the preset tool_call_timeout range.
Simulate cross-market quote queries, check that the returned quote units conform to the preset conversion 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.