AgentTool Router | Tool Selection and Permission Routing Module for AI Agents v3.2
AgentTool Router | Tool Selection and Permission Routing Module for AI Agents v3.2
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AgentTool Router | Tool Selection and Permission Routing Module for AI Agents v3.2
Description
AgentTool Router is a tool selection and permission routing module for AI agent systems that need to control which tools an agent may use, under what conditions, and with what input validation. Tool use is one of the most powerful and risky parts of agent design. A model that can call APIs, scripts, databases, or operational tools must be constrained by explicit routing logic and permission boundaries. This module provides a structured layer for registering tools, describing tool capabilities, defining access rules, validating tool inputs, selecting tools for tasks, and logging tool calls. It can be used in research agents, automation assistants, coding agents, internal operations agents, and controlled workflow agents. A typical workflow is to define a tool registry, attach permissions and schemas, receive an agent tool request, route it through policies, validate arguments, execute an approved call, and return a structured response. The module does not guarantee safe autonomy by itself. It should be paired with GuardrailPolicy Engine, APIShield Gateway, SecretGuard Scanner, and logging systems. Production use should include denial rules, rate limits, action approval, audit logs, and sandboxing for risky tools.
Product attributes
Canonical product name: AgentTool Router
Module type: Tool routing and permission control module for AI agents
Primary category: AI agents
Secondary categories: Tool calling, permission routing, function selection, agent safety
Suggested list price: £629.00
Intended users: Agent developers, backend engineers, platform teams, AI automation teams
Applicable lifecycle stage: Agent tool integration, controlled automation, internal assistant development, production safety design
Typical inputs: Tool registry, tool schemas, agent requests, permission rules, input payloads, routing policies
Typical outputs: Approved tool calls, rejected call records, validation results, tool call logs, structured tool responses
Delivery format: ZIP package automatically delivered by email after purchase
Expected package contents: Source files, tool routing examples, permission templates, schema examples, documentation, tests
Runtime environment: Python based agent backend environment
Integration mode: Agent tool layer, function calling router, internal API permission layer, workflow automation guardrail
Recommended skill level: Advanced
Commercial rights: Full commercial use is permitted
Modification rights: Modification, custom routing policy design, internal adaptation, and proprietary integration are permitted
Open source policy: Public open sourcing is prohibited
Redistribution policy: Resale, redistribution, sublicensing, or repackaging as a standalone module is prohibited
Production readiness note: Requires security review, permission design, sensitive tool isolation, logging, approval workflows, and abuse testing
Validation standard: The module is considered valid when sample tools can be registered, routed, validated, executed, rejected, and logged as documented
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