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Server Quality Checklist

83%
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  • Latest release: v3.2.2

  • Disambiguation5/5

    With exactly one tool, there is no possibility of selecting the wrong tool. The broad operation vocabulary is internal to the tool, so tool-level ambiguity is not a concern.

    Naming Consistency4/5

    The single name `zim_query` is clear and readable, and there are no inconsistent naming patterns because there is only one tool. However, with one tool there is no demonstrable naming family or verb_noun convention to fully evaluate.

    Tool Count2/5

    One mega tool is too few for the many distinct operations it tries to cover — archive discovery, metadata access, search, navigation, and synthesis are all hidden behind a single query string. This collapses the server into one opaque interface instead of letting agents choose between focused, discoverable tools.

    Completeness5/5

    For a read-only ZIM archive server, the covered surface is very thorough: listing archives, browsing namespaces, full-text search, article lookup, links, structure, suggestions, related articles, pagination, and cross-archive synthesis are all present. I do not see an obvious dead-end or essential read operation missing.

  • Average 4.9/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • 12 of 14 community issues answered or closed in the last 6 months
    • 116 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior5/5

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

    With no annotations present, the description carries the full burden and does so thoroughly: it discloses silent path auto-correction, per-intent defaults, ignored parameters, compact-mode response reduction, truncation-wiring via content_offset, and synthesize-mode caveats. It also warns that synthesize is a mode toggle, not a search-harder flag. No contradiction with annotations exists because none were provided.

    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?

    Lengthy in total size, but well-structured and earned: front-loaded intent instructions, compact operation list, clear per-parameter guidance, and warnings placed precisely where they relate. No filler is evident; the verbosity is justified by tool complexity.

    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?

    An exceptionally complex tool — ten parameters, no output schema, no annotations, and no sibling tools — and the description still covers intent rewriting, aliases, all primary operations, per-intent defaults, output return types, and synthesize response fields. The only omission is the undocumented cursor argument, and that does not meaningfully undermine an otherwise complete invocation guide.

    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?

    Despite 0% schema description coverage, the description covers query, zim_file_path, limit, offset, compact, compact_budget, synthesize, max_content_length, and content_offset in meaningful detail, including defaults and when to omit. The one clear gap is the schema's cursor parameter, which is never mentioned and therefore has no discoverable meaning.

    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?

    Opens with a clear action and resource: 'Query ZIM archives using natural language.' It then describes the tool as an intent-dispatching operation that accepts a variety of named operations, so an agent can understand its scope even without sibling tools to contrast against.

    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?

    Provides unusually explicit invocation guidance: 'EXTRACT INTENT BEFORE CALLING. Do not pass the user's raw message as query,' with concrete examples and a complete list of accepted operations. It also clarifies handling of aliases, when to omit zim_file_path, and when parameters are ignored or should be bumped.

    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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  • Evaluate tool definition quality.

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