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joandiazcapell

Shell Server

by joandiazcapell
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Python
Local

Server Quality Checklist

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

  • Latest release: v0.1.0

  • Disambiguation5/5

    With only one tool available, there is no possibility of confusion or overlap with other tools. The single tool 'terminal' has a clear, unambiguous purpose.

    Naming Consistency3/5

    While there is no inconsistency across multiple tools (as there is only one), the name 'terminal' uses a noun format rather than the recommended verb_noun pattern (e.g., 'run_command'), making it less predictable and descriptive of the action performed.

    Tool Count2/5

    A single tool is explicitly considered 'too few' for most server scopes. A 'Shell Server' implying general shell access would reasonably be expected to support additional capabilities like session management, environment handling, or file operations, rather than just one-shot command execution.

    Completeness3/5

    The tool covers basic command execution with stdout/stderr/exit code handling, but notable gaps exist for a shell server, such as interactive session management, background process control, working directory specification, or environment variable manipulation.

  • Average 3.8/5 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 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

  • Behavior3/5

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

    With no annotations provided, the description carries the full burden. It transparently explains output formatting (stdout/stderr combined, exit codes appended) but omits safety warnings, destructive potential, or execution boundaries that would be critical for an arbitrary shell execution tool.

    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?

    Three tightly constructed sentences with no wasted words. The description front-loads the core action, followed by output structure specifics and error-handling behavior. Every sentence provides distinct value.

    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 simple single-parameter input and implied output schema, the description adequately covers return value behavior. Minor gap: lacks safety warnings expected for shell execution tools, though the mechanics are fully documented.

    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%, documenting the command parameter, timeout behavior, and shell environments. The description focuses on output behavior rather than parameter semantics, meeting the baseline expectation without adding redundant param details.

    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 opens with a specific verb ('Run') and resource ('shell command'), clearly stating the tool executes commands and returns output. Without sibling tools, no differentiation is required, and the purpose is immediately obvious.

    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?

    No explicit 'when to use' guidance is provided, though the description explains how to interpret results (non-zero exit codes appended to output). This provides implicit usage guidance for error detection but lacks context about when shell execution is appropriate versus alternatives.

    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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