Open Data Infrastructure
AI-Ready Data Tool Registry Controls
Controls for AI-facing data tools across dataset scope, identity, allowed operations, source authority, and review evidence.
An AI tool registry that only lists names and JSON schemas is a phone book for risk.
Tool registries need control fields
AI systems use tools to reach data, APIs, files, catalogs, and workflows. A registry can make those tools discoverable. Discovery is not enough. The registry also needs to say what the tool is allowed to touch, who owns it, how policy is checked, and which evidence it emits.
The Model Context Protocol tools specification is useful here because it frames tools as named capabilities with schemas. The ODI layer adds the missing operating questions around data scope, source authority, permission, and review.
Scope the data tool
Each tool should declare allowed datasets, operations, identity mode, purpose limits, policy dependency, output shape, and logging requirements. If a tool can write data, it also needs a human review path and compensating action plan.
Core idea: a data tool registry should be an access control surface, not only developer documentation.
Record the evidence
The registry should connect to policy decision logs, lineage events, evaluation records, and data product ownership. When an agent calls a tool, the platform should know which registry entry governed the call and whether the output stayed inside the approved contract.
For related ODI patterns, read agentic AI tool permission manifests, foundation for AI access path inventory, and tool schemas as data contracts.
What breaks first
- The registry lists the tool but not the data products it can access.
- A tool schema defines inputs and outputs but not allowed operations.
- The tool owner changes, and no review updates the registry.
- Evaluation covers answer quality but not whether the tool should have been called.
Registry control questions
Ask whether every AI-facing data tool has an owner, scope, identity, policy hook, output contract, evidence requirement, and retirement path. Unknown tools should be treated as unapproved access paths.
Sources to start with
These primary sources anchor the technical claims in this guide.
- Model Context Protocol tools specification
- Open Policy Agent decision logs documentation
- OpenLineage object model documentation
- NIST AI Risk Management Framework
A tool registry earns trust when it controls access, not when it catalogs risk neatly.