Tools & Integration · Software component

Tool Call Schema Validator

Software componentTools & IntegrationOrchestration & Toolsarc:ToolCallSchemaValidator

A deterministic validator that checks tool invocations and tool responses against the tool's formal schema: tool-name existence, required and extraneous parameters, types, format patterns, enumerations and ranges.

Responsibility. Rejects syntactically malformed tool calls and responses before they are executed or consumed.

Also known as: Schema-based pre-validation, Syntactic auditing, Phantom tool detection, Post-execution schema validation, Data flow validation at tool boundaries

Direct neighbourhood (hover for relationship types)

Relationships

is invoked by dependency

Tool Executor Ch3.7

reads dependency

guards control

Tool Executor Ref8.06
Tool Integration Adapter abstract Ch3.7

is evaluated by assurance

Evaluation Harness Ch3.7

Design guidance

MUST verify that a requested tool name exists in the available toolkit before execution.
SHOULD return detailed error messages identifying exactly which constraint failed so the agent can correct the call.
SHOULD validate tool outputs against expected schemas to enable fallback instead of propagating corrupted data.
SHOULD validate data at tool boundaries in multi-step chains, transforming automatically when formats differ predictably and erroring otherwise.

Quantitative guidance

As stated by the sources; verify before use.

Schema validation typically identifies 60-80% of malformed tool invocations automatically (Ch3.7).
Removing pre-execution validation from a database-querying agent lowered task success from 94% to 91% (Ch3.7 case).

Classification

Patterns: Syntactic validationFail fast with specific error feedbackDeterministic validation around generative components
Technologies: JSON Schema validators
Quality attributes: Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Performance efficiency (ISO/IEC 25010)Cost efficiency
Risks mitigated: Phantom (non-existent) tool invocationMissing required parameters and type/format violationsMalformed tool responses propagating to downstream agentsWasted expensive API calls that would fail anyway

Sources

Ch3.7: T. Nguyen, "Tool Usage Auditing," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.7. ISBN: 9798244538229.
Ref3.09: "Agentic AI: The Top 5 Challenges and How to Overcome Them," unpublished reference note (09-Agentic-AI-Top-5-Challenges.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
Ref8.06: "Error Troubleshooting and Incident Response for Agent Systems," unpublished reference note (06-Error-Troubleshooting-Incident-Response.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note