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axint.feature

Read-onlyIdempotent

Generate a scaffolded Apple-native feature package from a description. Returns multiple files: compile-aware Swift source, companion widget/view, Info.plist fragments, entitlements, and XCTest scaffolds — all structured file-by-file so an Xcode agent can write each file directly into the project. Use: use for new Apple-native surfaces; not for repairing existing app bugs. Inputs: description is the feature brief; kind and platform constrain the generated package. Effects: read-only generated output; writes no files and uses no network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoPascalCase feature name, e.g., 'LogWaterIntake'.
domainNoApple App Intent domain.
formatNoWhen true (default), pipes every generated Swift file through swift-format with.
paramsNoExplicit parameter definitions as { fieldName: typeString }.
appNameNoThe target app name, used in generated comments and test references.
contextNoOptional nearby SwiftUI/design context.
platformNoTarget Apple platform for generated starter UI.
surfacesNoWhich Apple surfaces to generate. 'intent' produces an App Intent struct for.
descriptionYesWhat the feature does, in natural language. E.g., 'Let users log water intake via Siri' or 'Add a Spotlight-searchable recipe entity'.
componentKindNoOptional component blueprint for the component surface, such as feedCard.
tokenNamespaceNoOptional Swift token enum generated by axint.tokens.ingest, e.g., 'SwarmTokens'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
isErrorNo

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, but the description goes further by stating 'writes no files and uses no network' and 'read-only generated output.' It also discloses that output is structured file-by-file for an Xcode agent to write. This adds meaningful behavior beyond the annotations, though the idempotentHint is not explicitly reinforced.

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

Conciseness4/5

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

The description is well-structured with clear sections: main action, return value, usage, inputs, and effects. Each sentence provides distinct information, and the most critical fact (what the tool does) is front-loaded. Minor redundancy in 'read-only generated output' and 'writes no files' could be trimmed, but overall it is efficient.

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

Completeness4/5

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

For a tool with 11 parameters, nested objects, and an output schema, the description offers a good high-level context: it clarifies the use case, output structure, and side-effect profile. The only notable gap is the misleading 'kind' reference and the lack of explicit mention of the output schema (though the schema itself is present). Given the schema's richness, the description suffices for guiding invocation.

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

Parameters2/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds a helpful note that 'description' is the feature brief and that 'platform' constrains the package. However, it also mentions 'kind' as an input, yet no parameter named 'kind' exists in the schema—this is misleading. The ambiguity undermines the added value and could lead an agent to look for a non-existent parameter.

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 opens with a specific verb+noun: 'Generate a scaffolded Apple-native feature package from a description.' It then enumerates the output file types, making the tool's purpose unmistakable. The 'Use' clause also distinguishes it from repair tools, and the name 'feature' aligns with new-surface generation.

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

Usage Guidelines4/5

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

The description explicitly states when to use it ('for new Apple-native surfaces') and when not to ('not for repairing existing app bugs'). However, it does not name a specific alternative tool (e.g., axint.repair or axint.scaffold), so the guidance is clear but lacks a direct pointer to the sibling.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with descriptions specifying exact use cases (e.g., axint.activate for smoke test, axint.status for version). There is minor potential overlap between axint.suggest and axint.feature, but descriptions clarify suggestion vs generation.

Naming Consistency5/5

All tools follow a consistent hierarchical pattern: 'axint.<category>.<action>' (e.g., axint.agent.advice, axint.swift.validate). Even standalone tools like axint.compile fit the pattern. No mixing of conventions.

Tool Count2/5

36 tools is well above the typical 3-15 range for a well-scoped set. While the server covers a broad domain, the sheer number may overwhelm agents and reduce efficiency. A reduction or grouping would improve coherence.

Completeness4/5

The tool set covers the full Axint development lifecycle: installation, compilation, validation, repair, upgrade, session management, and coordination. Minor gaps exist (e.g., no dedicated tool for deleting project artifacts), but core workflows are well-supported.