Skip to main content
Glama

Server Quality Checklist

100%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.9.1

  • Disambiguation5/5

    Each tool has a distinct purpose: execute, translate without executing, and manage session state. There is no overlap in functionality, so an agent can unambiguously select the right tool.

    Naming Consistency4/5

    Two tools follow a 'fauxnix_' prefix pattern, but the primary tool is simply named 'bash', which breaks the convention. However, this is a deliberate choice for the main entry point and all names are clear and predictable.

    Tool Count5/5

    With only 3 tools, the server is tightly scoped to its core purpose: executing bash commands, providing translation for debugging, and managing the session. No redundant tools; each earns its place.

    Completeness5/5

    The toolset covers the full lifecycle of the domain: execution (bash), understanding/debugging (fauxnix_translate), and session management (fauxnix_session). There are no obvious gaps for the stated purpose.

  • Average 4.4/5 across 3 of 3 tools scored.

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

    • 8 of 10 community issues answered or closed in the last 6 months
    • 151 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 passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • Tools from this server were used 4 times in the last 30 days.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

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

  • Behavior4/5

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

    The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, non-destructive operation. The description adds behavioral context by emphasizing 'WITHOUT executing it' and that the command is 'never executed', reinforcing safety beyond the annotations. This matches the bar for adding value beyond structured fields.

    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, front-loading the core action and immediate caveat (no execution) in the first sentence, then stating the use case. Every sentence earns its place without any wasted words.

    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 has a single parameter, no output schema, and rich annotations (readOnly, idempotent, non-destructive), the description is complete enough. It explains the translation function, non-execution guarantee, and appropriate use case. The absence of return value detail is acceptable since there is no output schema to contradict, and the 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% (1 parameter fully described in schema), so the baseline is 3. The description adds minimal parameter information beyond the schema (just reiterates 'bash-style command line'), but it does clarify that the command is never executed, which complements the schema description. No enum parameters exist to add further context.

    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 clearly states the tool translates a bash-style command into PowerShell without executing it, specifying the verb 'Translate' and the resource 'bash-style command'. It distinguishes itself from siblings like 'bash' or 'fauxnix_session' by highlighting its non-execution and translation-only purpose.

    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?

    The description explicitly states this is for learning or debugging what fauxnix does under the hood, providing clear context for when to use it. However, it does not specify when not to use it or mention alternatives, though the sibling 'bash' implies execution which contrasts with this tool's non-execution nature.

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

  • Behavior4/5

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

    The description explains the effects of each action: status shows session state (cwd, tracked env keys), reset clears to a fresh shell. This enriches the idempotentHint=true and destructiveHint=false annotations by describing what actually changes.

    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?

    A single front-loaded sentence plus a brief action list. Every word is informative with no filler. Ideal conciseness.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the simple tool (one enum parameter, no output schema), the description fully covers the tool's purpose and behavior. The combination of description and schema leaves no meaningful gaps for an agent.

    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% with a detailed enum description. The tool description reiterates the action names but adds no new semantic information beyond the schema. Baseline of 3 is appropriate.

    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 clearly states the tool inspects or resets a persistent fauxnix shell session, with specific actions enumerated. This distinctly differentiates it from sibling tools bash (executing commands) and fauxnix_translate (translations).

    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?

    The description implies when to use this tool (for session state inspection or reset) but does not explicitly contrast with sibling tools or provide when-not guidance. The clarity of purpose and sibling names indirectly guide selection.

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

  • Behavior5/5

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

    Annotations are sparse (destructiveHint true, openWorldHint true). The description adds extensive behavioral detail: deterministic translation to PowerShell, output formatting, encoding handling, persistence of CWD/env across calls, bash-style exit codes, structuredContent return, and platform requirements. This far exceeds what annotations alone offer, with no contradiction.

    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?

    Although the description is long, every sentence delivers critical information: execution method, supported/unsupported features, state persistence, exit codes, structured output, and platform constraints. It is well-structured with clear sections and front-loads the core purpose. No redundant or filler content.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    This is a complex tool (command execution with many edge cases), and the description covers all critical aspects: translation behavior, supported commands, unsupported constructs, state persistence, exit code semantics, structured content fields, and platform requirements. Even though no output schema is provided, the description explicitly enumerates the structuredContent fields. Nothing essential is missing.

    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% (both command and timeout_ms have descriptions). The description adds no extra parameter semantics beyond what the schema already states, such as the default timeout. Baseline of 3 is appropriate since the schema fully documents the parameters.

    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 first sentence states a specific action ('Execute a Linux/bash-style command') on a specific platform ('this Windows machine'). It clearly distinguishes itself from siblings like fauxnix_translate (presumably a translation utility) and fauxnix_session (session management). No ambiguity about what the tool does.

    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 lists what is supported (pipes, redirections, variables, 108+ coreutils commands) and what is not (heredocs, while/until, env -i, background jobs). It also clarifies that unknown commands (git, node, etc.) are passed through natively. This gives concrete when-to-use and when-not-to-use guidance beyond the schema.

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

GitHub Badge

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.

Card Badge

fauxnix MCP server

Copy to your README.md:

Score Badge

fauxnix MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/20000419/fauxnix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server