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Tianyi Cui a7a5be1703 docs(notes): archive low-future-value Agent Notes
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Agent Note: 模型边界处的运行时参数校验

Status: implemented Archived: 2026-09-04

English | 中文

问题

defineTool(统一 schema DSL)为工具作者的 execute(args) 提供了经 InferArgs<S> 映射的类型化参数。但该类型只是对运行时值的编译期声明,而这个值实际上是模型生成的 JSON:没有任何机制强制模型遵守 schema,因此畸形调用(缺少必需键、声明为数字的位置传入字符串,或字面量超出声明的集合)会以「仅在名义上类型化」的状态到达 execute。工具函数体随后要么在处理结构错误的数据时崩溃,要么在不报错的情况下行为异常。

决策

validateArgs(spec, args): string[] 编译 ParameterSchemaSpec,并委托共享的 validateJsonSchemaValue() 遍历器,对格式正确的声明返回可读的违规列表。defineTool 在定义时对编译后的参数 schema 创建快照,并在调用类型化函数体之前执行校验;存在违规时会抛出 ToolArgsError(INVALID_ARGS),注册表将其作为模型可据以修正的错误结果返回。

校验器与编译器因此共享完全一致的语义:隐式参数根是开放对象;必需键仅来自 required: true;默认值仍是注解;显式嵌套对象遵循其声明的开放性;数组通过 items 递归校验;标量字面量约束保证类型正确;oneOf 仅在恰好一个分支匹配时才接受。直接注册的工具自行负责输入校验。

后果

  • 模型会收到有关自身畸形调用的可操作反馈,而不是遭遇不透明的崩溃,弥合了 InferArgs 的承诺与运行时现实之间的鸿沟。
  • 校验器与 InferArgs 必须保持一致;一项属性测试生成满足 spec 的参数并断言它们通过 validateArgs(同时通过针对性改坏参数来断言其会被拒绝),通过自动化检查消除这种漂移风险。
  • ToolArgsError 是结构化错误分类体系中 HarnessError 的子类,保留其 code 字段;读取 .message 的调用方不受该层级结构影响。
  • 校验开销相对于一次模型调用可忽略不计。