Unverified50% confidenceFactExact time
Pydantic's model_validate_json method can be used to parse and validate JSON data from untrusted sources and throws a ValidationError when validation fails.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPydantic在工具被实际调用时对传入参数进行运行时校验,若类型不匹配会在业务代码执行前抛出验证错误73% similarUnverified在每个数据交接点添加JSON Schema校验可将结构性不匹配从运行时深层故障提前到开发阶段即可捕获72% similarUnverifiedOutput validation is an independent check layer between "call succeeded" and "task succeeded," and commonly used methods include JSON Schema validation, required-field checks, numeric range checks, date expiry checks, and consistency checks against user constraints.70% similarUnverifiedSchema enforcement is typically implemented through JSON Schema validation, type systems, or dedicated tool-call interception layers, inserting a deterministic validation step decoupled from model inference before function call parameters are executed.67% similarUnverifiedHallucination detection solves the problem of LLMs pretending to have called tools by detecting JSON-style tool calls in the text.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1047127API
curl https://kongchang.com/api/v1/knowledge/claims/1047127MCP
get_claim(id=1047127)