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axint.registry.search

Read-onlyIdempotent

Search the registry for existing packages matching a natural-language query to find reusable components before generating code.

Instructions

Search the Axint Registry for already-published packages that match a natural-language query. Use this BEFORE calling axint.feature or axint.compile so the agent can install an existing package instead of... Use: use before generating code to find reusable packages; not for validating local Swift. Effects: read-only local registry search using AXINT_REGISTRY_PATH or sibling checkout; no network by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFree-form description of what the agent is about to build. E.g., 'log a workout', 'capture a voice note',...
kindNoOptional surface filter. One of: app-intent, view, widget, store, app, component. Loose match; 'intent'...
platformNoOptional platform filter. One of: iOS, macOS, watchOS, tvOS, visionOS. Filters by the manifest's...
limitNoHard cap on returned hits. Defaults to 10.
minScoreNoMinimum normalized match score (0..1) below which results are dropped. Defaults to 0.1.

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds 'read-only local registry search... no network by default,' providing useful behavioral context 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?

Three efficient sentences, each earning its place. First sentence states purpose, second guides usage, third adds behavioral detail. No redundancy.

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 availability of output schema, the description covers all necessary aspects: purpose, usage, effects, and constraints. It is fully adequate for correct tool selection.

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?

Schema coverage is 100%, so description adds only marginal value. But it contextualizes the query parameter as a 'free-form description of what the agent is about to build,' slightly enhancing understanding.

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 it searches the Axint Registry for published packages matching a natural-language query, and distinguishes from siblings by specifying 'use BEFORE calling axint.feature or axint.compile'.

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?

Explicitly states when to use (before generating code to find reusable packages) and when not to use ('not for validating local Swift'), with clear context on the workflow.

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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