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axint.swift.fix

Read-onlyIdempotent

Automatically corrects mechanical Swift errors detected by validate. Handles 20+ fix rules like @State let to var and perform() injection.

Instructions

Auto-fix mechanical Swift errors detected by axint.swift.validate. Handles 20+ fix rules: rewrites @State let → @State var, injects perform() into AppIntents, drops var body stubs into Widgets and Apps, adds let date: Date to TimelineEntry,... Use: use after swift.validate when errors are mechanical; inspect remaining diagnostics manually. Effects: read-only fixed-source output; writes no files and uses no network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesFull Swift source code to fix.
fileNoOptional file name to attach to diagnostics.
formatNoWhen true (default), pipes the repaired Swift through swift-format with Axint's house style. Falls back to...

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesPrimary Axint tool response text, matching the first text content block.
isErrorNoWhether Axint marked the tool response as an error.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate read-only and idempotent. The description adds critical behavioral context: 'read-only fixed-source output; writes no files and uses no network.' This goes beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences, front-loaded with purpose, each sentence contributes meaningfully. No unnecessary words, effectively structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (20+ fix rules) and presence of output schema, the description covers what the tool does, when to use, effects, and parameter semantics. It is fully adequate for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 100% coverage, but the description adds context: explains the 'file' param as optional for diagnostics, and clarifies 'format' default and fallback behavior. This adds value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool's purpose: 'Auto-fix mechanical Swift errors detected by axint.swift.validate.' It lists specific fix rules, distinguishing it from siblings like axint.swift.validate and axint.repair.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear usage guidance: 'Use: use after swift.validate when errors are mechanical; inspect remaining diagnostics manually.' This tells when to use and what to do after, differentiating it from alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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