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lbailey94

whitemagic

Server Quality Checklist

92%
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  • Latest release: v9.1.1

  • Disambiguation5/5

    Only one tool exists, so there is no ambiguity between tools. The tool description is clear about its purpose as a meta-tool and how to use it.

    Naming Consistency1/5

    The single tool name 'wm' is extremely generic and provides no indication of its function. It does not follow a verb_noun pattern, but with only one tool, naming consistency is not a practical concern; however, the name itself is vague.

    Tool Count1/5

    The server exposes only one meta-tool, which internally manages 59 tools. This is an extreme mismatch between the exposed surface and the actual scope, making it nearly impossible for agents to discover and use the underlying tools without explicit prior knowledge.

    Completeness1/5

    The single meta-tool hides the entire tool surface behind a routing mechanism, making the surface severely incomplete from an agent's perspective. Direct CRUD or lifecycle operations are not exposed, and the need to use thought= for NLU routing introduces fragility and dead ends.

  • Average 3.7/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 43 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.

  • Tools from this server were used 2 times in the last 30 days.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

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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

  • Behavior3/5

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

    With no annotations provided, the description carries the behavioral disclosure burden. It states the tool is writable and scoped to /root/.local/share/whitemagic/lmdb, which conveys mutability and persistence. However, it does not disclose what happens on invalid routing, how write operations are applied, or what the observable side effects beyond scope are, leaving some behavioral ambiguity.

    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 compact and dense, with each sentence adding a distinct element: identity, mode/scope, parameter usage, and discovery command. It could be better structured with separation of routing versus dispatch, but no sentence is wasted and the key operational details are front-loaded.

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

    Completeness3/5

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

    For a meta-tool with 59 sub-tools and no output schema, the description covers the essential calling convention and discovery mechanism. It does not explain the output shape since that depends on the routed tool, nor does it mention edge cases such as ambiguous routing or invalid route names. These are notable gaps for an agent that must know what the call will return and how to recover from failures.

    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?

    The schema already has 100% coverage, but the description adds meaning beyond the field names by explaining the intended role of each parameter: thought performs TF-IDF NLU auto-routing, route forces a direct tool dispatch, and args passes through arguments. It clarifies the routing model and the relationship between thought and route, which the bare schema does not convey.

    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 identifies the tool as a meta-tool exposing a curated surface of 59 tools, with a writable mode and a concrete storage scope. The phrase 'Use thought= for NLU routing... route= for explicit dispatch' makes its dispatcher role clear even though the name 'wm' and missing title are opaque. It lacks sibling differentiation because no siblings are provided, but the resource and behavior are stated specifically enough.

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

    Usage Guidelines4/5

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

    The description provides explicit usage instructions for all three parameters: thought for NLU routing, route for explicit dispatch, and args as passthrough. It also gives concrete command examples and points to 'list tools' for discovery. There is no explicit when-not-to-use because no alternatives are listed, but the guidance is otherwise complete.

    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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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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