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seo-rii

oxlint-mcp

by seo-rii

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.1

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'lint-files' has a clear, distinct purpose focused on linting files using Oxlint.

    Naming Consistency5/5

    The naming convention is consistent by default since there is only one tool. The name 'lint-files' follows a clear verb_noun pattern, and there are no other tools to cause inconsistency.

    Tool Count2/5

    A single tool is too few for a server's purpose, as it limits functionality and scope. While the tool is specific to linting, a typical server would benefit from additional tools for tasks like configuration or result analysis, making this feel thin and under-scoped.

    Completeness3/5

    The tool provides a basic linting operation, but there are notable gaps in the surface. For a linting domain, expected features like configuring rules, ignoring files, or formatting results are missing, which could hinder agent workflows and cause workarounds.

  • Average 3.3/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 0 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 failing
  • 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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    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
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      ]
    }

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How to sync the server with GitHub?

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?

    No annotations are provided, so the description carries the full burden. It mentions the need for absolute file paths and OS-specific formatting, but fails to disclose key behavioral traits such as what the linting process entails (e.g., error reporting, output format), whether it modifies files, performance implications, or any rate limits. This leaves significant gaps in understanding the tool's behavior.

    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 concise and front-loaded, starting with the core purpose. Both sentences add value: the first states the action, and the second specifies parameter requirements. There's no unnecessary information, though it could be slightly more structured (e.g., bullet points for constraints).

    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?

    Given the tool's moderate complexity (1 parameter, no output schema, no annotations), the description is partially complete. It covers the basic purpose and parameter semantics but lacks details on behavioral traits, output expectations, and usage scenarios. Without annotations or output schema, more context on what linting returns would improve completeness.

    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 description adds meaningful context beyond the input schema, which has 0% coverage. It explains that 'filePaths' must be absolute paths in OS-specific format, clarifying the parameter's purpose and constraints. However, it doesn't detail what constitutes valid file paths or examples beyond slashes, leaving some ambiguity.

    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's purpose: 'Lint files using Oxlint.' It specifies the verb ('lint') and resource ('files'), though it doesn't differentiate from siblings as none exist. However, it could be more specific about what 'lint' entails (e.g., checking for errors, style issues).

    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?

    The description provides some usage context by specifying that absolute file paths are required and must be in the correct OS format. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., other linters or file-checking tools), and there's no mention of prerequisites or typical scenarios for linting.

    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.

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