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VasyaYovbak

smart-explore

by VasyaYovbak
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Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v12.2.5

  • Disambiguation5/5

    There is only one tool, so there is no possibility of confusion between tools. Its name and description clearly indicate it is a health check for the CLI.

    Naming Consistency5/5

    The single tool name uses a consistent snake_case style and is descriptive. With only one tool, there are no conflicting naming conventions to penalize.

    Tool Count1/5

    A single status-check tool is an extreme mismatch for a server named smart-explore, which implies code exploration as its purpose. This is a trivial health-check-only surface.

    Completeness1/5

    The server exposes no actual exploration tools; it only checks CLI availability. Agents cannot perform any part of the server's stated core function.

  • Average 4.6/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 1 commit 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 burden. It goes beyond the name by specifying that the check verifies 'installed and runnable' and by explicitly labeling the tool as 'only a health check', signaling a non-destructive read-only operation. It does not detail output format or failure behavior, but for a zero-parameter status probe this is adequate.

    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 two sentences with no filler. It front-loads the exact action and then adds a single useful usage/context sentence, earning every word.

    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?

    For a simple zero-input, zero-output-schema health check, the description is nearly complete: it states the exact condition checked and the scope of the tool. The only missing piece is the precise response representation, but 'Check whether' strongly implies a boolean/status result, which is sufficient for an agent to proceed.

    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 tool accepts 0 parameters, so the baseline is 4. The description does not need to explain any parameters, and it correctly avoids introducing nonexistent ones.

    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 starts with 'Check whether the bundled smart-explore CLI is installed and runnable', which is a specific verb and resource. It also clarifies scope with 'this is only a health check', distinguishing it from actual code exploration, so an agent can easily understand its role.

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

    Usage Guidelines5/5

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

    The description explicitly gives usage direction: 'Use the CLI for all code exploration; this is only a health check.' This tells the agent when to invoke this tool versus the alternative of using the CLI for exploration, leaving no ambiguity.

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

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