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deepseek-harness/docs/adr/0005-custom-schema-dsl-over-schemastery.md
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# ADR 0005: Custom typed tool-schema DSL instead of schemastery
Status: accepted (2026-06-11)
## Context
Tool parameters must reach the model as standard JSON Schema (the wire format), and tool authors deserve typed `execute(args)` without casts. The repo already vendors schemastery (used for plugin Config), so reusing it was the obvious candidate. The user also explicitly preferred per-property `required: true` booleans over JSON Schema's separate `required` array.
## Decision
A small custom DSL in dsh-tools: `SchemaSpec` (per-property specs with `required: true` booleans), type-level `InferArgs<S>` mapping a spec to the argument type (required keys non-optional, others genuinely optional via `?`), a runtime `schemaSpecToJsonSchema()` converter, and `defineTool()` tying them together. Raw JSON-Schema `ToolDefinition`s remain accepted by `ToolRegistry.register()` — that's how MCP-sourced tools arrive.
Schemastery was evaluated and rejected for this use: it targets validation / transformation against StandardSchema, not JSON Schema *generation*, so it would add indirection without producing the wire format cleanly.
## Consequences
- First-party tool authors get zero-cast typed args; the type gymnastics cost stays inside the core package (sanctioned by the AGENTS.md type-safety policy).
- The DSL is deliberately small (string/number/boolean/object/array, enum, default, nested properties/items). Gaps vs full JSON Schema (unions, formats, constraints) are accepted until real tools demand them.
- The InferArgs mapping is regression-tested at the type level (expectTypeOf) after an early optionality bug shipped and was caught by review.