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ashwinmridul

mcp-repo-health

by ashwinmridul

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation4/5

    The two tools are related but distinct: score_repo provides an overall health score, while list_hygiene_gaps returns only the failing checks. An agent could confuse them if it wants a summary versus details, but the descriptions clarify the difference.

    Naming Consistency4/5

    Both tools use a verb_noun pattern (score_repo, list_hygiene_gaps), which is consistent. The second tool's noun phrase is more descriptive than the first, but the pattern is still predictable.

    Tool Count3/5

    Two tools is on the thin side for a repository health server, but the scope is narrow and the two tools cover the core need. It feels slightly minimal but not unreasonable.

    Completeness3/5

    The server covers scoring and listing gaps, but lacks operations like getting detailed check results, generating reports, or fixing/ignoring specific hygiene issues. The core workflow is present, but there are notable gaps for a health-check domain.

  • Average 3.4/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • No commit activity data available
    • 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 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.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool evaluates but doesn't disclose what 'score' means (e.g., numeric scale, pass/fail), whether it modifies anything (it likely doesn't, but that's not stated), what happens if the path is invalid, or what the output format is. For a read-only analysis tool, the lack of explicit non-destructive confirmation and output details is a gap.

    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?

    The description is a single, efficient sentence that front-loads the action ('Score a local repository') and lists the evaluation criteria. Every word earns its place; no fluff or repetition.

    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?

    The tool has one parameter, no annotations, and no output schema. The description explains what is scored but not how the score is presented (e.g., numeric, categorical), what the return value looks like, or any edge cases (e.g., missing files, non-repository paths). For a tool that produces a score, the absence of output format details is a notable gap. The sibling tool 'list_hygiene_gaps' suggests a related workflow, but the description doesn't connect to it.

    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%: the only parameter 'root' is described as 'Absolute path to the repository root'. The description adds the context that the repository is 'local' and what will be scored, but doesn't add meaning beyond the schema for the parameter itself. Baseline 3 is appropriate since the schema already documents the parameter fully.

    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 function: scoring a local repository for specific hygiene criteria (README, license, tests, TypeScript, CI). It uses a specific verb ('score') and resource ('local repository'), and lists the dimensions evaluated. It doesn't explicitly distinguish from the sibling tool 'list_hygiene_gaps', but the verb 'score' implies a rating/assessment rather than listing gaps, which is a reasonable implicit distinction.

    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 implies the tool is used when you want a hygiene score for a repository, but it doesn't explicitly state when to use this over 'list_hygiene_gaps'. The sibling tool name suggests an alternative for listing gaps, but the description doesn't mention it or provide selection criteria. The context is clear enough for a basic use case, but no explicit guidance is given.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    With no annotations provided, the description carries the burden of behavioral disclosure. It states the tool returns only failing checks, which implies filtering behavior, but it does not disclose whether the tool performs any analysis, requires network access, or has side effects. The filtering behavior is a useful addition, but more context (e.g., what happens if no checks fail) would improve transparency.

    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?

    The description is a single, front-loaded sentence with no wasted words. It immediately states the scope ('failing hygiene checks') and the target ('local repository'), making it easy to parse.

    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?

    For a simple tool with one parameter and no output schema, the description is mostly adequate. However, it does not explain what constitutes a 'hygiene check' or what the return format looks like, which could leave an agent uncertain about how to interpret the results. The sibling tool 'score_repo' suggests a broader context that is not fully addressed.

    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%, so the schema already documents the 'root' parameter as an absolute path. The description adds no additional meaning beyond the schema, so the baseline 3 is appropriate.

    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 states a specific verb ('Return') and resource ('failing hygiene checks for a local repository'), which clearly distinguishes it from the sibling tool 'score_repo'. It could be slightly more explicit about what 'hygiene checks' entails, but the core purpose is clear.

    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 implies usage for a local repository and contrasts with 'score_repo' by focusing on failing checks rather than a score. However, it does not explicitly state when to prefer this tool over 'score_repo' or provide exclusions, leaving some inference to the agent.

    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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