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Glama

Get Package History

get_package_history
Read-onlyIdempotent

Trace indexed package version history for regression investigation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
distroYes
sourceNo
releaseNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare the tool as read-only, open-world, idempotent, and non-destructive, so the description doesn't need to repeat safety. It adds the 'indexed' qualifier, implying it only covers indexed packages, but provides no additional behavioral context such as ordering, pagination, or coverage limitations.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no fluff. It is efficient, but the extreme brevity leaves out essential details that would make it more helpful. Still, it exercises good conciseness by avoiding redundancy with annotations.

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

Completeness2/5

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

For a tool with four parameters and no output schema, the description is too sparse. It doesn't explain what constitutes 'history' (e.g., timestamps, versions, changelogs) or how the returned data is structured. The annotations cover safety but not operational context, leaving the agent under-informed about expected inputs and outputs.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no information about the meaning of parameters like 'name', 'distro', 'source', or 'release'. Without any semantic guidance, the agent cannot infer what values to supply or how they affect the output. The description completely fails to compensate for the schema gap.

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

Purpose4/5

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

The description clearly identifies the tool's action (Trace) and resource (indexed package version history), with a specific use case (regression investigation). It distinguishes from siblings like get_package or compare_package_versions by emphasizing 'history', though it doesn't explicitly name alternatives.

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

Usage Guidelines3/5

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

The phrase 'for regression investigation' implies a contextual usage, suggesting when this tool would be appropriate. However, it doesn't provide explicit guidance on when to use this over alternatives, nor does it mention any exclusions or prerequisites.

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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TDQS

B3.2/5.0
Disambiguation3/5

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.

Naming Consistency5/5

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.

Tool Count3/5

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.

Completeness4/5

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.

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