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name: ai-agent-tool-routing description: 'Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.' category: engineering risk: safe source: self source_type: self date_added: "2026-10-01" author: Ranjeet2063 tags: [ai, agents, tool-use, mcp, llm, automation, python] tools: [] source_repo: Ranjeet2063/agentic-awesome-skills

Autonomous AI Agent Tool Routing

What it is: Coordinates discovery, runtime execution bounds, and fault-tolerant retry policies for external tools consumed by autonomous AI coding agents.

Overview

Provides a standardized, auditable framework and data model for Autonomous AI Agent Tool Routing operations across distributed engineering and decentralized application systems.

When to Use This Skill

• When formalizing architectural contracts, security invariants, or operational limits for Autonomous AI Agent Tool Routing.
• When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
• When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.

How It Works

1. Define the parameters, thresholds, and identity bindings required for the target operational register.
2. Select appropriate boundary enforcement values from validated enum select sets.
3. Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.

Field Reference

#	Field Name	Type	SQL Type	JSON Schema Type	Notion Property Type	Example Value
1	Tool Definition ID	id	SERIAL PRIMARY KEY	integer	Text	TOOL-001
2	Tool Canonical Name	text	VARCHAR(64)	string	Text	stellar_ledger_query
3	Target Protocol / Server	text	VARCHAR(64)	string	Text	Stellar Horizon RPC
4	Invocation Mode	select	VARCHAR(32)	string	Select	Synchronous
5	Idempotency Enforced	select	VARCHAR(16)	string	Select	Yes
6	Parameter Coercion Strategy	select	VARCHAR(64)	string	Select	Strict Pydantic V2
7	Rate Limit Requests Per Min	number	INTEGER	number	Number	120
8	Retry Backoff Policy	select	VARCHAR(32)	string	Select	Exponential with Jitter
9	Timeout Threshold Ms	number	INTEGER	number	Number	5000
10	Router Registration Status	select	VARCHAR(32)	string	Select	Active Verified
11	Last Validation Date	date	DATE	string, format: date	Date	2026-10-01

Select Options

Invocation Mode

Synchronous | Asynchronous Background | Scheduled Cron

Idempotency Enforced

Yes | No

Parameter Coercion Strategy

Strict Pydantic V2 | JSON Schema Draft 7 | Permissive Fallback

Retry Backoff Policy

Exponential with Jitter | Linear Step | Immediate Reversion

Router Registration Status

Draft | Active Verified | Deprecated | Blocked

Relations

• Audit Reference -> links to the formal review documentation or test repository.
• Target Architecture -> links to the deployed contract or autonomous agent runtime component.

Examples

Prompt

How do I configure and track Autonomous AI Agent Tool Routing for our production environment?

Recommended Next Step

Generate the unified field schema, SQL DDL migration, and JSON validation schema to register into your system catalog.

Workflow: Define criteria -> Run automated verification -> Record baseline -> Monitor invariants.

Best Practices

• Enforce strict typing on numerical bounds and currency amounts; avoid unstructured free-text fields for critical states.
• Re-run validation test suites on every state-altering commit or parameter change.
• Keep example data synthetic and isolated from production cryptographic keys or private endpoints.

Limitations

• Provides architectural specifications, data models, and verification schemas; does not execute direct transaction signing without authorized external tooling.
• Requires network connectivity and valid RPC credentials when querying on-chain states.

Security & Safety Notes

• All parameters declare risk: safe. No unauthorized state modification or privileged credential access is performed.
• Use synthetic dummy keys and mock addresses in test suites and local verification scripts.

Common Pitfalls

• Problem: Mismatched decimal precision between contract runtime and database register. Solution: Always verify decimals using the explicit field mapping in this reference.
• Problem: Missing authorization checks prior to state update. Solution: Cross-validate against the Security Audit register before deployment.

Related Skills

• @ai-prompt-regression-testing - covers prompt regression baselines and drift.
• @web3-rate-limiting-circuit-breaker - provides operational guardrails and threshold breakers.
• @cross-chain-relayer-audit - covers message hashes, nonces and quorum proofs.

Reusable Prompt

I want to establish a verified Autonomous AI Agent Tool Routing register for our production protocol.
Guide me through the required field parameters and output the corresponding SQL DDL and JSON Schema.