Code and Change Review Assistance for Backup Recovery and Disaster Recovery Drills: Tool Calling and Plugins

This category draws data from backup systems, database logs, object storage, and disaster recovery platforms. Daily associated documents include

What data looks like for this category

This category draws data from backup systems, database logs, object storage, and disaster recovery platforms. Daily associated documents include backup policies, recovery drill reports, disaster recovery switchover plans, and data validation records. Update frequencies cover daily, monthly, and quarterly cycles. Data fields align with core document requirements. Backup policies include backup windows and retention periods. Drill reports include execution times and abnormal nodes. Data validation records include the number of validation items and execution status. Field dimensions vary across different documents. This category focuses on cross-system recoverability, which differs from single database operation and maintenance scenarios.

What constraints these characteristics impose on tool calling and plugin workflows

This category’s data sources are scattered across multiple types of systems. Tool calling must adapt to format differences across source data to avoid parsing errors. Daily documents have significant structural differences. Plugins must support dynamic matching of fields from different documents, and cannot directly use uniform parsing rules. Validation steps such as recovery point confirmation and data validation take time. Tool calling must set reasonable timeout parameters to prevent single-step blocking from delaying review progress. High availability requirements in disaster recovery scenarios mean plugin failure handling must align with business continuity goals. A single failed call must not interrupt the overall review process.

How to configure settings

Configuration ItemRecommended SettingRationale
toolChoiceSet to autoAdapt to dynamic calling needs for multi-source disaster recovery data, no need to manually specify specific tools
functionCallRestricted to recovery and validation toolsAvoid calling unrelated tools that disrupt review workflows, align with core requirements of disaster recovery scenarios
Timeout threshold300–600 secondsAdapt to execution durations of time-consuming steps such as recovery point confirmation and data validation
Retry count2 attemptsAddress occasional fluctuations in backup system interfaces, without impacting overall review rhythm
Plugin context limitFirst 10 historical recordsControl input scale for tool calling, avoid exceeding system processing limits
Parameter type switchEnable custom modeAdapt to delivery needs for different parameter types in disaster recovery scenarios

Three common configuration mistakes

  • Large models return empty tool calling results. The cause is incorrect configuration of the toolChoice parameter, which prevents the large model from matching available disaster recovery tools.
  • The type parameter is fixed to string when calling MCP services. The cause is that the custom parameter type switch was not enabled in the FastGPT v4.17.0 plugin configuration, and the system converts all parameters to string type by default.
  • Tool calling streaming output cannot be disabled. The cause is that the streaming output switch was not disabled in the configuration, so all tool calls use streaming returns by default.

How to confirm configuration is complete

  • Manually trigger a change review, check tool calling logs, and confirm that all called tools are exclusive to disaster recovery scenarios.
  • Submit test data containing abnormal parameters, verify whether tool calling triggers interruption or retry according to the configured timeout threshold.
  • View the plugin configuration interface, confirm that the toolChoice and functionCall parameter settings match the recommendations in the configuration table.
  • Simulate a tool calling failure, check whether the preset retry mechanism is triggered, and the review process is not directly interrupted.

The values provided here are common starting points, and should be evaluated against applicable samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.