Get Package
get_packageGet package metadata, dependencies, files and vulnerability evidence for one distribution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| repo | No | ||
| distro | Yes | ||
| source | No | ||
| release | No |
get_packageGet package metadata, dependencies, files and vulnerability evidence for one distribution.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| repo | No | ||
| distro | Yes | ||
| source | No | ||
| release | No |
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 readOnly, idempotent, and non-destructive behavior. The description adds concrete return content (metadata, dependencies, files, vulnerability evidence), which provides useful context beyond the annotations without contradicting them.
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?
A single, focused sentence that immediately states the tool's purpose. No wasted words and clear front-loading of the verb and primary object.
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?
The description lists what is returned, which is helpful given no output schema. However, it lacks parameter guidance and optional qualifiers like repo/source/release, leaving the tool partially explained for a 5-parameter operation.
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%, and the description does not explain any parameter meanings. The phrase 'for one distribution' hints at the distro parameter, but name, repo, source, and release are left undefined. The description fails to compensate for the lack of schema documentation.
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 a specific verb 'Get' and clearly identifies the resource: package metadata, dependencies, files, and vulnerability evidence for one distribution. This distinguishes it from sibling tools like get_package_history or compare_package_versions.
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 usage for a single distribution but provides no explicit alternatives or when-not-to-use guidance. Siblings such as compare_package_versions or get_package_history are not mentioned, leaving the agent to infer the tool's scope.
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.