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LinHaiJ

workbuddy-mcp

by LinHaiJ
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.2.0

  • Disambiguation5/5

    With only one tool, there is no possibility of overlapping purposes. The single action is clearly scoped to running a WorkBuddy task and cannot be confused with anything else.

    Naming Consistency5/5

    The tool name follows a clear verb_noun convention: run_workbuddy_task. It accurately describes the action and is easily predictable.

    Tool Count3/5

    A single tool is functional but feels thin for a server, even though it directly covers its stated purpose. There is no secondary surface for configuration, status, or task management, placing it at the borderline of acceptable scope.

    Completeness4/5

    The server covers its core workflow: executing a non-interactive WorkBuddy task and returning result text. It lacks lifecycle or management operations, but for a one-shot CLI delegation tool these are not necessarily required, so only minor gaps exist.

  • 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
    • 5 commits in the last 12 weeks
    • No stable releases found
    • 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.

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

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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?

    无注解，描述需承担行为披露。描述说明任务以非交互方式执行、返回结果文本，并通过 schema 提及 stdin 传 prompt 不会截断，但这些细节主要来自 schema 而非描述本身。缺少如权限、副作用、失败模式等行为信息。

    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?

    描述只有一句话，直接说明工具做什么、如何调用（非交互）以及输出类型。信息密度高，无冗余。

    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?

    无输出 schema，描述只提到返回结果文本，未说明返回格式/错误结构。但 6 个参数都在 schema 中充分解释了，整体对调用而言基本足够。缺少返回值细节和退出码/错误提示。

    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 覆盖 100%，每个参数在 schema 中已有详细中文说明，描述本身无需补充参数含义。描述未重复 schema，因此可以给予基线 3。

    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?

    描述包含明确的动词“委托/执行”和资源“WorkBuddy（codebuddy CLI）”，并指出返回结果文本。虽然无兄弟工具，但“以非交互方式”等限定语使其与其他可能的 CLI 工具区分开。

    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?

    描述隐含了使用场景（委托 WorkBuddy 非交互执行任务），但没有明确说明何时不使用它，也没有指出替代工具或前置条件。无兄弟工具且参数如 cwd/model/timeout 提供了运行时选择上下文。

    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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