arch-linux-mcp

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

The annotations declare readOnlyHint=true, and the description aligns by describing a read-only analysis operation ('parse and analyze'). It adds valuable context beyond annotations by specifying platform constraints ('Only works on Arch Linux'), return details (e.g., 'enabled repositories, ignored packages'), and behavioral traits like warnings and recommendations for certain focus values.

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

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

The description is front-loaded with core functionality, uses efficient sentences with zero waste, and includes practical examples that directly support usage without redundancy, making it highly concise and well-structured.

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

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

Given the tool's low complexity (1 parameter, 100% schema coverage, read-only annotation) and no output schema, the description is mostly complete by explaining what the tool does, usage, and return details. However, it could slightly improve by explicitly mentioning the lack of side effects or error handling, though it's adequate for this context.

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

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

The input schema has 100% description coverage, fully documenting the 'focus' parameter with enum values and default. The description adds minimal semantic value by restating the enum options in examples, but doesn't provide additional syntax or format details beyond what the schema already covers.

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

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

The description clearly states the tool's purpose with specific verbs ('parse and analyze') and resource ('pacman.conf'), and distinguishes it from siblings by specifying it only works on Arch Linux and focuses on pacman configuration analysis, unlike tools like 'analyze_makepkg_conf' or 'get_system_info' which handle different aspects.

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

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

The description provides explicit usage guidance with examples for when to use different focus values (e.g., 'full' for all settings, 'ignored_packages' for specific analysis), and implicitly suggests alternatives by mentioning it's specific to Arch Linux, though it doesn't name sibling tools directly.

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