Compare Distros
compare_distrosCompare installation names and commands for a tool across Linux distributions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tool | Yes |
compare_distrosCompare installation names and commands for a tool across Linux distributions.
| Name | Required | Description | Default |
|---|---|---|---|
| tool | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the comparison focuses on installation names and commands, but it does not disclose output format, data source, or potential limitations beyond what annotations provide.
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 a single sentence of 12 words, starting with the action verb 'Compare.' It is front-loaded and contains no filler or redundant information—every word contributes to the meaning.
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?
For a one-parameter tool with strong annotations, the description gives the core purpose but lacks information about the output format or any usage notes. Without an output schema, the agent cannot anticipate what the response contains, though the tool's simplicity mitigates this gap somewhat.
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?
Schema description coverage is 0%, so the description must clarify the 'tool' parameter. It partially does via 'for a tool,' indicating the parameter is the software tool to compare. However, it doesn't specify whether it's a package name, binary name, or provide examples or further constraints beyond the schema pattern.
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 uses the specific verb 'Compare' and identifies the resource as 'installation names and commands for a tool across Linux distributions.' This clearly differentiates it from sibling tools like compare_distro_releases (which compares distro releases) and get_tool (which retrieves tool info).
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 implies the tool should be used when a cross-distro comparison of install names/commands is needed, but it does not explicitly state when to use this over alternatives such as resolve_install or compare_package_versions. No alternative tools or exclusion criteria are mentioned, so usage guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set covers many closely related operations: three 'compare_*' tools, four command-diagnostic tools, and several lookup tools that can overlap. Descriptions help but boundaries are not always obvious (e.g., identify_binary vs query_file_provides, lint_command vs suggest_fix), so an agent may select the wrong tool for a task.
All tool names follow a consistent verb_noun (or verb_noun_noun) pattern with snake_case. Verbs such as get, search, compare, and diagnose are used predictably, making the set's structure easy to learn.
22 tools is more than the typical well-scoped set (3-15), and the server covers a broad but unified domain. While each tool serves a distinct purpose, the granularity is slightly heavy—some comparison and diagnostic tools could potentially be merged.
The tool surface covers core intelligence workflows: searching, fetching details, comparing, resolving installs, migration planning, lifecycle checks, and vulnerability lookup. Minor gaps exist such as a direct 'list_distributions' tool, but agents can work around these using existing tools.