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SKILL verified MIT Self-run

Tool Definition

skill-techymt-claude-code-superpowers-tool-definition · by TechyMT

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Install

$ agentstack add skill-techymt-claude-code-superpowers-tool-definition

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Tool Definition

The pattern

A Tool is defined by calling buildTool({ ... }), which fills in safe defaults for isEnabled, isConcurrencySafe, isReadOnly, isDestructive, checkPermissions, and other housekeeping methods. The Input is a Zod schema exposed via a get inputSchema() getter. The Output is the TypeScript type of data inside the result. These compose: the Zod schema drives runtime validation AND TypeScript types simultaneously, eliminating a class of bugs where validation and types diverge.

The key insight: buildTool factory + checkPermissions method + typed throw for errors. Permissions are not checked inside call() — the framework calls checkPermissions(input, context) before dispatching to call(). Errors are thrown (not returned), and the framework formats them for the LLM.

Why this matters

The LLM produces tool calls as JSON objects. Claude Code must: (1) validate the JSON against a schema, (2) check if the user permits this call, (3) execute the tool, (4) return a structured result back to the LLM. These four steps must be explicit and in order.

If a tool checked permissions after execution (or not at all), security would be broken. If validation happened after permission checking, the LLM could construct inputs that bypass validation for permitted tools. The pattern enforces the correct order: schema validation happens automatically when the framework calls the tool; checkPermissions is called by the framework before call() is ever reached; call() can assume permission is already granted.

Using Zod as the schema source of truth means the LLM's JSON schema (shown in the system prompt) and the runtime validator are the same artifact. When you change one, you change both.

How to apply it

  1. Define inputSchema using lazySchema(() => z.strictObject({ ... })). Add .describe() to each field — these become the LLM's parameter documentation.
  2. Implement isConcurrencySafe(input) and isReadOnly(input). These are called with the actual input, so you can make them input-dependent (e.g., a bash tool is concurrent-safe only for read commands).
  3. Implement checkPermissions() for side-effect tools — the framework calls it before call(). Return a PermissionDecision indicating whether execution is allowed.
  4. Return { data: result } from call() on success; throw for errors (the framework formats thrown errors for the LLM).
  5. Use onProgress to stream partial results to the UI. Call it with typed progress objects as work proceeds.

In the source

// Source: src/tools/FileReadTool/FileReadTool.ts (real file, real pattern)
import { buildTool, type ToolDef } from '../../Tool.js'
import { lazySchema } from '../../utils/lazySchema.js'

const inputSchema = lazySchema(() =>
  z.strictObject({
    file_path: z.string().describe('The absolute path to the file to read'),
    offset: z.number().int().nonnegative().optional().describe('Line number to start reading from'),
    limit: z.number().int().positive().optional().describe('Number of lines to read'),
  })
)
type InputSchema = ReturnType

export const FileReadTool = buildTool({
  name: FILE_READ_TOOL_NAME,
  searchHint: 'read files, images, PDFs, notebooks',
  strict: true,
  async description() { return DESCRIPTION },

  // Zod schema exposed as a getter — evaluated lazily on first access
  get inputSchema(): InputSchema { return inputSchema() },

  isConcurrencySafe() { return true },
  isReadOnly() { return true },

  // Framework calls this BEFORE call() — tool never needs to re-check
  async checkPermissions(input, context): Promise {
    return checkReadPermissionForTool(FileReadTool, input, appState.toolPermissionContext)
  },

  async call({ file_path, offset = 1, limit }, context, _canUseTool?) {
    // Permission already granted by the time we reach here
    const content = await readFile(file_path, { offset, limit })
    // Return { data: T } on success — throw on error
    return { data: { type: 'text', file: { filePath: file_path, content, numLines: limit } } }
  },
})

Notice that description() is async and returns a string rather than a static property — this lets the UI show "Read src/main.tsx" instead of "Read a file". _canUseTool in call() is available only for forwarding to sub-tools; most tools ignore it entirely.

Apply it to your code

Before — capability implemented as an unstructured function:

// No schema, no permission check, throws on error, no streaming
async function searchFiles(pattern: string, dir: string): Promise {
  const results = await glob(pattern, { cwd: dir })
  if (results.length === 0) {
    throw new Error(`No files matching ${pattern}`)
  }
  return results
}

After — same capability as a proper Tool:

import { z } from 'zod'
import { buildTool } from '../../Tool.js'
import { lazySchema } from '../../utils/lazySchema.js'

const inputSchema = lazySchema(() =>
  z.strictObject({
    pattern: z.string().describe('Glob pattern to match (e.g. **/*.ts)'),
    path: z.string().optional().describe('Directory to search in. Defaults to cwd.'),
  })
)
type InputSchema = ReturnType

export const GlobTool = buildTool({
  name: GLOB_TOOL_NAME,
  searchHint: 'find files by glob pattern',
  async description(input) {
    return `Find files matching ${input.pattern}${input.path ? ` in ${input.path}` : ''}`
  },

  get inputSchema(): InputSchema { return inputSchema() },

  // Glob is pure read — safe to run concurrently with other read operations
  isConcurrencySafe: () => true,
  isReadOnly: () => true,

  // Read-only tools typically need no permission check; buildTool supplies a permissive default.
  // For a tool with side effects, implement checkPermissions() here instead.

  async call(args, context) {
    // By the time call() runs, permissions are already settled
    const cwd = args.path ?? context.getAppState().cwd
    const results = await glob(args.pattern, { cwd })
    // Return empty array on no matches — not an error; let the LLM decide
    // Throw on unexpected failures — framework formats the error for the LLM
    return { data: results }
  },
})

Signals that you need this pattern

  • A capability needs LLM access but is implemented as a function called from the query loop directly
  • A tool is reading process.env or global singletons instead of context.getAppState()
  • A tool manually calls canUseTool inside call() instead of implementing checkPermissions()
  • The Zod schema and the TypeScript interface are defined separately and can drift
  • isConcurrencySafe always returns false without examining the input

Signals that you're over-applying it

  • Pure computation helpers (formatting, parsing) do not need Tool wrapping
  • Utilities called only from tests or other tools' call() implementations don't need schemas
  • Don't implement isDestructive for every tool — only tools that perform irreversible mutations

Works with

  • domain-model — explains where Tools fit in the full system
  • permission-system — how checkPermissions evaluates and what happens after denial
  • async-concurrency — how isConcurrencySafe affects the execution scheduler
  • error-handling — full error propagation philosophy for tool results

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.