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search_aur

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Search the Arch User Repository for packages with smart ranking. Returns results sorted by relevance, votes, popularity, or last update, including maintainer and vote count.

Instructions

[DISCOVERY] Search the Arch User Repository (AUR) for packages with smart ranking. ⚠️ WARNING: AUR packages are user-produced and potentially unsafe. Returns package info including votes, maintainer, and last update. Always check official repos first using get_official_package_info. Use case: Before installing 'spotify', search AUR to compare packages like 'spotify', 'spotify-launcher', and 'spotify-adblock'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesPackage search query
limitNoMaximum number of results (default: 20)
sort_byNoSort method: 'relevance' (default), 'votes', 'popularity', or 'modified'relevance
Behavior5/5

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

Annotations already provide readOnlyHint, and the description adds a safety warning about user-produced packages and states the returned info (votes, maintainer, last update), enhancing transparency beyond annotations. No contradiction.

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?

Every sentence serves a purpose: purpose, warning, return info, guidance, example. No fluff, well-structured with a warning icon. Ideal length for quick comprehension.

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 3 parameters, no output schema, and readOnlyHint annotation, the description covers all essential aspects: what it does, what it returns, safety considerations, and usage patterns. It feels complete for a search tool.

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 baseline is 3. The description adds context by mentioning 'smart ranking' and the sort options, and clarifies the limit default and query behavior, providing 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 clearly states the verb 'search' and the resource 'Arch User Repository', and it distinguishes from sibling tools like get_official_package_info and search_archwiki by specifying that it searches AUR with smart ranking.

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 instructs to check official repos first with get_official_package_info, warns about AUR package safety, and provides a concrete use case, making it clear when and how to use this tool.

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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