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Server Quality Checklist

67%
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  • Latest release: v1.0.1

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion between different tools. The tool's purpose is clearly described as executing a topology engine, leaving no ambiguity.

    Naming Consistency5/5

    The single tool name follows a clear verb_noun pattern ('execute_topology_engine'), which is consistent and predictable. Even with one tool, the naming is well-structured and aligns with common conventions.

    Tool Count3/5

    One tool is on the borderline of being insufficient for a typical server, as most servers require at least a few tools to cover related operations. However, if the server's sole purpose is to run this engine, the count could be justified, but it feels thin without additional context.

    Completeness2/5

    The server exposes only a single operation, lacking any configuration, query, or retrieval tools that would complement the execution workflow. This creates significant gaps for agents that may need to set up inputs or inspect outputs, making the surface incomplete for a broader task lifecycle.

  • Average 2.9/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 7 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • 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.

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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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

  • Behavior2/5

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

    Annotations are absent, so the description carries the full burden. It mentions 'deterministic' and '10-step' but does not disclose what happens during execution, side effects, required permissions, or what the output 'state-transition snapshots' entail. The behavior is underspecified for a tool with no annotations.

    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, concise sentence with no redundant information. It is front-loaded with the core action and key characteristics. However, it could benefit from a couple more sentences to clarify usage, but as is, it is efficient.

    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?

    Given the complexity of a 10-step engine and no output schema, the description is insufficient. It does not explain what 'state-transition snapshots' are, how the filled_template constrains execution, or what the tool returns. The tool's operation remains abstract.

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

    Parameters3/5

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

    Schema description coverage is 100% for the two parameters, but the description adds minimal meaning beyond the schema. It names 'filled_template' and 'task_description' but does not explain how they influence the 10-step execution. Baseline 3 is appropriate as the schema covers parameter definitions.

    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 states the tool executes a 10-step deterministic problem-solving topology engine to process tasks and generate state-transition snapshots. The purpose is specific and distinct, though it introduces jargon ('topology engine') that could be ambiguous without further context.

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

    Usage Guidelines2/5

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

    There is no guidance on when to use this tool versus alternatives, nor exclusions or prerequisites. The description implies it should be used for tasks requiring a structured problem-solving approach, but it does not explicitly define appropriate use cases or situations to avoid.

    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 there are no obvious security issues.
  • Evaluate tool definition quality.

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