Tool Calls and Plugins for IT Service Revenue and Market

What This Category's Data Looks Like

IT service track revenue rate and daily market trend data primarily connects to professional financial market aggregation APIs and track-specific monitoring data sources. Data undergoes full refresh at fixed daily times, aligning with daily report broadcasting requirements. Data is stored in structured format, including service unique ID, service name, same-day revenue value, cumulative cycle revenue value, market snapshot time, associated technical indicator fields, and more. Numeric fields use floating-point storage. Time fields use ISO 8601 standard format. String fields store service classification and name information.

Constraints Imposed on Tool Calls and Plugins

Full daily data refresh at fixed times requires tool calls to use scheduled trigger rules. This prevents requests for invalid content before data synchronization completes. Strict structured field matching requirements mean tool calls must specify exact required field names. This avoids parsing failures from missing fields or naming differences. The return standards for floating-point values and ISO 8601 time formats require plugins to include built-in format validation logic. This filters non-compliant return results. The need to connect multiple data sources requires tool call chains to support parallel requests to different sources and merge results. This ensures complete daily report content.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`tool_call_trigger_cron`	`0 8 * * *`	Aligns with data updated at fixed daily times, ensuring data is fully refreshed before requests
`tool_request_timeout`	`30 seconds`	Reserves reasonable waiting time for structured data parsing and multi-source merging, prevents request interruptions from network fluctuations
`required_tool_fields`	`["service_id", "today_income", "snapshot_time"]`	Forces tools to return core fields required for daily report broadcasting, avoids missing critical information
`data_format_check_switch`	`Enabled`	Filters return results that do not comply with ISO 8601 and floating-point standards, improves content accuracy
`multi_source_merge_strategy`	`Merge by service_id`	Matches the unique identifier field of structured data, ensures correct aggregation of service data from different sources

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Tool calls in workflows return empty fields or fields that do not appear in context nodes. Cause: Corresponding fields are not configured in required_tool_fields, causing tool return results to be filtered.
Broadcast content generated after tool calls includes irrelevant information outside the tool's return scope. Cause: The prompt does not explicitly limit use of only structured data returned by the tool, causing the model to call external unrelated data sources.
Locally deployed models return a 400 Bad Request status code when calling tools. Cause: The local model did not correctly configure access authentication parameters for the MCP service, or was not added to the service's allowlist.

How to Verify Proper Configuration

Manually trigger a tool call, check if returned fields exactly match the list configured in required_tool_fields.
Check scheduled task logs, confirm tool calls execute automatically at the preset fixed daily time, and returned snapshot_time fields fall within the day's update time range.
Import test data from two different data sources, verify that merged results after tool calls correctly associate corresponding entries by service_id.
Simulate the request format of a locally deployed model, test tool call authentication parameter transmission, confirm no format errors or permission blocks.

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.