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axint.project.index

Idempotent

Index a local Apple project to create a compact context pack, enabling Axint to reason over multiple files for project-aware repairs and multi-file SwiftUI work.

Instructions

Scan the local Apple project and write a compact .axint/context pack so Axint can reason over changed files, nearby SwiftUI surfaces, and interaction-risk files instead of only one source file at a time. Use: use before project-aware repair, multi-file SwiftUI work, or interaction-risk analysis. Effects: writes .axint/context unless dryRun=true; reads local project files only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetDirNoProject directory to index. Defaults to the current working directory.
projectNameNoOptional project name override for the context pack.
changedFilesNoOptional changed files to pin into the context pack.
includeGitNoWhether to include git changed-file discovery. Defaults to true.
dryRunNoWhen true, returns the index without writing .axint/context files.
formatNoOutput format. Defaults to markdown.

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.
Behavior4/5

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

The description adds behavioral context beyond annotations: it states the tool writes .axint/context unless dryRun=true, and reads local project files only. Annotations indicate idempotentHint=true and destructiveHint=false, which are consistent. However, it doesn't clarify overwrite behavior on repeated writes.

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?

The description is two sentences: one for purpose and one for usage and effects. It is front-loaded and contains no filler, earning its place with concise, actionable information.

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?

Given the tool's complexity (6 parameters, output schema exists) and annotations, the description covers the core purpose, usage, and effects. It doesn't detail return values, but the output schema presumably covers that. It adequately prepares an agent for invocation.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description reinforces the dryRun parameter's effect and mentions targetDir defaults, but adds no additional meaning beyond the schema for other parameters like changedFiles or includeGit.

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 clearly states the tool scans a local Apple project and writes a compact .axint/context pack for project-aware reasoning. It specifies the verb 'scan', the resource 'local Apple project', and the output, distinguishing it from siblings like 'axint.compile' or 'axint.project.pack' that serve different purposes.

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 says 'Use: use before project-aware repair, multi-file SwiftUI work, or interaction-risk analysis', providing clear contexts for usage. It contrasts with single-file reasoning ('instead of only one source file at a time'), giving implicit alternatives, though it does not directly name sibling tools.

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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