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rocketride-org

RocketRide

by rocketride-org
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

Server Quality Checklist

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

  • Latest release: v0.1.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The tool has a single, distinct purpose, making disambiguation trivial.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name follows a clear pattern, and there are no other tools to compare it against for inconsistency.

    Tool Count2/5

    A single tool is generally too few for most server purposes, as it limits functionality and may indicate an incomplete or overly narrow scope. For a server named 'RocketRide', which suggests broader capabilities, one tool feels insufficient.

    Completeness1/5

    With only one tool, the surface is severely incomplete. It's impossible to assess coverage for any meaningful domain, and the tool's vague description ('Convenience tool') offers no insight into what operations it supports, suggesting major gaps.

  • Average 2/5 across 1 of 1 tools scored.

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

    • 90 of 176 community issues answered or closed in the last 6 months
    • 327 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.

  • 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.

  • This repository includes a glama.json configuration file.

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

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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

  • Behavior1/5

    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 fails to indicate whether processing is destructive, what output is generated, or any side effects, leaving the agent with no safety or operational context.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness2/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    While only four words, the description is empty of actionable information. This represents under-specification rather than efficient front-loading; the 'Convenience tool' prefix wastes space without conveying value.

    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?

    Even with only one parameter, the description inadequately explains what 'processing' entails. For a tool implying document transformation, the lack of behavioral context, output expectations, or RocketRide-specific functionality leaves critical gaps.

    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?

    The input schema has 100% description coverage for the single 'filepath' parameter. The description adds no additional semantic context about the parameter (e.g., supported formats, relative vs absolute paths), meeting the baseline for high-coverage schemas.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose2/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description restates the tool name with the filler prefix 'Convenience tool:', failing to specify what processing actually occurs (e.g., conversion, extraction, validation) or provide a specific action verb beyond the implied 'process'.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    No guidance provided on when to use this tool, prerequisites for the file path, or expected outcomes. With no siblings, differentiation is moot, but general usage context is absent.

    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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