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sidclawhq

SidClaw GovernanceMCPServer

by sidclawhq
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TypeScript
Hybrid

Server Quality Checklist

75%
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  • Latest release: v0.1.1

  • Disambiguation5/5

    With only a single tool available, there is zero risk of an agent confusing it with another tool or selecting the wrong one. The tool's purpose as a proxy wrapper is distinct by default.

    Naming Consistency5/5

    The single tool uses clear snake_case formatting (governance_proxy). With only one tool in the set, it is trivially consistent with itself and follows a readable noun_noun pattern.

    Tool Count3/5

    One tool is borderline thin for a 'Governance' server, which typically implies multiple concerns (policy management, audit review, configuration). While the proxy mechanism is functional, the surface feels minimal for the stated scope.

    Completeness2/5

    Major gaps exist for the governance domain: there are no tools to configure policies, retrieve audit trails, check approval queue status, or manage the governance lifecycle. The server only provides the proxy wrapper without exposing its own governance data or settings to agents.

  • 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
    • 59 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 Apache 2.0.

  • 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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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

  • Behavior4/5

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

    Discloses key behavioral traits not in annotations: tamper-evident audit trails, human-in-the-loop approval, and policy evaluation requirements.

    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?

    Well-structured with three purposeful sentences: purpose, configuration, and documentation link; appropriately concise.

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

    Completeness4/5

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

    Adequately covers the tool's proxy nature, required environment variables, and setup documentation given the simple input schema and lack of output schema.

    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 has 100% coverage of the single placeholder parameter; description adds no additional parameter semantics but meets baseline.

    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?

    Clearly states it wraps upstream MCP servers with specific governance functions (policy evaluation, human-in-the-loop, audit trails), using specific verbs and resources.

    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?

    Provides configuration requirements and notes it's a placeholder without upstream setup, but lacks explicit decision criteria for when to select this tool vs. alternatives.

    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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