Verified65% confidenceFactExact time
In tool calling, the model may generate parameters that do not conform to the Schema, omit required fields, or confuse tools across multiple rounds of calls, so production environments usually need a validation and fault-tolerance layer between the model and the tools.
3
Sources
65%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen calling tools, models sometimes generate malformed parameters, call nonexistent functions, or fall into infinite loops; mature agent frameworks incorporate parameter validation, retry limits, and exception-handling mechanisms.79% similarUnverifiedThe model decides which tool to call based on tool descriptions (docstrings); vague descriptions lead to the wrong tool being selected without raising an exception, making troubleshooting obscure.78% similarUnverifiedAdding schema validation at the tool-calling stage constrains the uncertainty of model outputs to a controllable range.77% similarUnverifiedWhen a large language model calls tools, it needs to place the names, descriptions, and parameter schemas of all available tools into the context, from which the model selects the most appropriate one during inference.76% similarUnverifiedThe inputs to tool functions come from model generation and must be treated as untrusted input.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1055748API
curl https://kongchang.com/api/v1/knowledge/claims/1055748MCP
get_claim(id=1055748)