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samhooker

pirate-borg-mcp

by samhooker
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TypeScript
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Server Quality Checklist

58%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Only one tool exists, so there is no risk of ambiguity or misselection.

    Naming Consistency5/5

    Single tool uses clear verb_noun pattern (create_character), consistent with good naming conventions.

    Tool Count4/5

    A single tool is appropriate for a focused NPC generator server, though slightly thin if broader interaction is expected.

    Completeness3/5

    The server only supports creating characters; there are no tools for reading, updating, or deleting, which may limit agent workflows but is acceptable for a simple generator.

  • Average 4.3/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 3 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

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  • This repository includes a README.md file.

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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?

    With no annotations, the description carries the full burden. It discloses that stats are procedurally rolled from tables, which informs the agent of random outcomes. It does not mention any destructive side effects, but as a creation tool, that is expected.

    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?

    Two sentences, no wasted words. The description is front-loaded with the core action and immediately clarifies the user-tool responsibility split.

    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?

    The description lacks information about the return format (what the output object looks like) and does not mention that ability modifiers are not in the schema. Given no output schema, this gap leaves the agent uncertain about what the tool returns.

    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?

    Schema coverage is 100%, so baseline is 3. The description adds value by grouping parameters into 'narrative fields' vs 'rolled numerical values', helping the agent understand the division of labor beyond individual schema descriptions.

    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?

    The description uses a specific verb ('Generate') and resource ('Pirate Borg NPC'), and clearly distinguishes the tool's role: user supplies narrative fields, tool rolls stats from tables. This leaves no ambiguity about what the tool does.

    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 tells the agent when to use this tool: when creating an NPC and wanting randomly generated stats. It does not explicitly state when not to use it or list alternatives, but since no sibling tools are provided, this is sufficient context.

    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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Glama performs regular codebase and documentation scans to:

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

Our badge communicates server capabilities, safety, and installation instructions.

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