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Build a tool
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A tool is a capability the model can call. This guide builds one with defineTool.
Minimal example
import type { Context } from 'cordis'
import { defineTool } from '@deepseek-ai/dsh-tools'
export const name = 'my-tool'
export const inject = ['tools']
export function apply(ctx: Context) {
ctx.tools.register(defineTool({
name: 'greet',
description: 'Greet someone by name.',
parameters: {
name: { type: 'string', required: true, description: 'The name to greet' },
},
output: {
schema: { type: 'string' },
render: (_args, value) => [{ type: 'text', text: value }],
},
async execute(args) {
// args is inferred as { name: string }.
return `Hello, ${args.name}!`
},
}))
}
Parameter definitions
parameters uses a compact format that the framework converts to the JSON Schema sent to the model.
Primitive types
export const parameters = {
path: { type: 'string', required: true },
limit: { type: 'integer' },
recursive: { type: 'boolean' },
parent: { type: 'null' },
}
// Inferred type: { path: string; limit?: number; recursive?: boolean; parent?: null }
Enums
export const parameters = {
mode: { type: 'string', required: true, enum: ['read', 'write', 'append'] },
}
// Inferred type: { mode: 'read' | 'write' | 'append' }
Nested objects
export const parameters = {
options: {
type: 'object',
additionalProperties: true,
properties: {
timeout: { type: 'number' },
retries: { type: 'number' },
},
},
}
// The declared fields are inferred; additional JSON-valued keys are allowed.
Arrays
export const parameters = {
tags: {
type: 'array',
items: { type: 'string' },
},
}
// Inferred type: { tags?: string[] }
Property fields
| Field | Type | Meaning |
|---|---|---|
type |
'string' | 'number' | 'integer' | 'boolean' | 'null' | 'object' | 'array' | 'json' |
Value type; json accepts any lossless JSON value |
required |
true |
Marks the property required and affects inference |
description |
string |
Description sent to the model |
enum / const |
matching scalar values | Allowed literal values, checked at author and runtime boundaries |
properties |
ParameterSchemaSpec |
Nested properties for an object |
additionalProperties |
true | false |
Required on every explicit object node |
items |
ValueSchemaSpec |
Element schema for an array |
oneOf |
at least two ValueSchemaSpec branches |
Requires exactly one matching branch; used instead of type |
The outer parameters map is an implicit open object. Explicit nested objects choose their openness; raw JSON Schema registered without defineTool keeps JSON Schema's open-by-default behavior.
The execute function
execute receives validated, inferred args and an exec execution context:
import { defineTool } from '@deepseek-ai/dsh-tools'
export const tool = defineTool({
name: 'example',
description: 'Return an example result.',
parameters: {},
output: {
schema: { type: 'string' },
render: (_args, value) => [{ type: 'text', text: value }],
},
async execute(args, exec) {
// args: inferred from parameters
// exec: ToolExecution context
// Return the value declared by output.schema.
void args
void exec
return 'result here'
},
})
Return value
execute returns the lossless JSON value declared by output.schema. output.render(args, value) separately turns that validated value into the Native/model-facing content:
output: {
schema: {
type: 'object',
additionalProperties: false,
properties: {
path: { type: 'string', required: true },
content: { type: 'string', required: true },
},
},
render: (_args, value) => [{ type: 'text', text: value.content }],
},
async execute(args) {
return { path: args.path, content: await readFile(args.path, 'utf8') }
}
The canonical value is available to execution-time programmatic callers and is not persisted in tool/result; the rendered content and optional presentationMeta are the replayable projections. A body value that does not satisfy the schema, or is not lossless JSON, becomes an INVALID_TOOL_OUTPUT failure.
Argument validation
Before calling execute, defineTool validates model-generated arguments. Invalid input raises ToolArgsError; the framework turns it into an isError result so the model can correct its call.
Do not repeat type validation inside execute.
Presentation
A tool can define UI presentation methods for terminal and ACP clients:
defineTool({
name: 'bash',
// ...
output: {
schema: { type: 'string' },
render: (_args, value) => [{ type: 'text', text: value }],
},
presentCall(args) {
return {
card: 'terminal',
title: args.command,
}
},
presentResult(args, result) {
return {
card: 'terminal',
output: result.content.map(b => b.type === 'text' ? b.text : '').join(''),
}
},
})
presentCall and presentResult are pure functions. Streaming UI and session replay may call them more than once.
Registration and unloading
ctx.tools.register() returns a disposer, but a registration made through ctx is already tracked by the framework. Unloading the plugin removes the tool automatically, so the plugin does not call the disposer itself.
// This is sufficient:
ctx.tools.register(defineTool({ /* ... */ }))
// No saved disposer or extra cleanup registration is needed.
Complete example
This tool counts files in a directory:
import type { Context } from 'cordis'
import { defineTool } from '@deepseek-ai/dsh-tools'
import { readdir } from 'node:fs/promises'
export const name = 'file-counter'
export const inject = ['tools']
export function apply(ctx: Context) {
ctx.tools.register(defineTool({
name: 'count_files',
description: 'Count files in a directory.',
parameters: {
path: { type: 'string', required: true, description: 'Directory path' },
extension: { type: 'string', description: 'Filter by extension (e.g. ".ts")' },
},
output: {
schema: {
type: 'object',
additionalProperties: false,
properties: {
count: { type: 'integer', required: true },
files: { type: 'array', required: true, items: { type: 'string' } },
},
},
render: (_args, value) => [{ type: 'text', text: `Found ${value.count} files.` }],
},
async execute(args) {
const entries = await readdir(args.path, { withFileTypes: true })
let files = entries.filter(e => e.isFile())
if (args.extension) {
files = files.filter(f => f.name.endsWith(args.extension!))
}
return { count: files.length, files: files.map(file => file.name) }
},
}))
}
Next steps
- Plugin configuration — make the tool configurable
- Capability layering — understand the interface/implementation/consumer pattern