Tool categories
A category-level map of preset AI MCP tool classes. For per-tool details, see the MCP Tools reference.
Why categories matter
The MCP server exposes 40+ tools. Knowing which category to reach for at each stage of a session is the difference between an AI that helps and an AI that thrashes. The default sequence — discovery, constraints, generation, validation, apply — maps onto these categories.
Five categories
1. Discovery and retrieval
Read-first context gathering. Call these before generating anything.
Examples: component and preset lookup, semantic search across artifacts, token retrieval.
2. Constraint and guardrail lookup
Call before generation to avoid invalid approaches.
Examples: forbidden primitives, active constraints, intent routing guidance.
3. Generation support
Use when producing code aligned to system artifacts.
Examples: preset-guided code scaffolding, pattern-based generation paths.
4. Validation and quality
Use after generation and before apply.
Examples: drift checks, compliance checks, accessibility and interaction validation.
5. Workflow and governance
Lifecycle-aware write operations.
Examples: proposal-oriented operations, export and context packaging, readiness checks for governed apply.
How to choose tools
The default sequence:
- Discovery (read)
- Constraints (read)
- Generation (write candidate output)
- Validation (read findings)
- Proposal or apply (governed write)
Skip stages only when you have a specific reason. Skipping validation in particular tends to surface as drift later.
Mode-aware behavior
Tool usage adapts to the active compliance mode:
- Observe / Assist — broader flexibility, stronger guidance
- Guard / Enforce — stricter gating, explicit approvals
See adaptive modes for how this is detected and overridden.