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proofmath-owner

AI FileSystem MCP

by proofmath-owner
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TypeScript
Hybrid

Server Quality Checklist

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

  • Latest release: v4.0.0

  • Disambiguation5/5

    With only one tool, there is no ambiguity between tools. The single tool has a clearly defined purpose.

    Naming Consistency5/5

    With a single tool, naming is trivially consistent. The name 'transaction' is descriptive and fits the tool's purpose.

    Tool Count2/5

    A single tool for a file system server is too few. The server's purpose implies a need for multiple operations, but only a batch transaction tool is provided.

    Completeness1/5

    The server severely lacks basic file operations (read, write, list, etc.). It only offers a batch transaction tool, which is a narrow supplement, not a complete file system interface.

  • Average 4.2/5 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
    • Last stable release on
    • 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.

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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?

    Disclosures atomicity, rollback on failure, and default behavior of rollbackOnError. No annotations provided, so description carries full burden; it adequately informs about core behavior but does not mention success outcomes or side effects beyond rollback.

    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 concise sentences, front-loaded with the core purpose, followed by a key differentiator. No superfluous information.

    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?

    Given the tool's complexity (two parameters, one nested array) and no output schema, the description covers atomicity, rollback, and operation types adequately. Lacks explanation of return value or error handling details, but the core use case is clear.

    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 parameters fully. The description adds minimal extra context (e.g., 'from on-disk backups') but does not significantly enhance understanding beyond the schema.

    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?

    Clearly states the verb 'apply', resource 'batch of file operations', and atomicity. Distinguishes from the agent's built-in Edit by noting this is something it cannot do, providing sibling differentiation.

    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?

    Explicitly contrasts with the agent's per-file Edit, implying when to use this tool (for atomic batch operations). Lacks explicit when-not-to-use or alternatives beyond that single comparison.

    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 there are no obvious security issues.
  • Evaluate tool definition quality.

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