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vinhgiga

obox-mcp

by vinhgiga

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: one initializes FastAPI, one initializes React, and one finalizes any newly created project. There is no functional overlap between them.

    Naming Consistency3/5

    The two initialization tools follow a similar pattern (framework_init_project), but the finalizer tool (just_project_runner) uses a completely different naming style. Additionally, one tool has the 'obox_' prefix while the other does not, causing inconsistency.

    Tool Count5/5

    Three tools is a well-scoped count for a project scaffolding server. Each tool serves a distinct purpose and the count is within the ideal 3-15 range.

    Completeness3/5

    The tool set covers the init and finalize lifecycle for FastAPI and React, but lacks support for other common frameworks and has no additional operations like listing projects or managing dependencies. The finalizer is somewhat disconnected from the init tools, requiring manual invocation.

  • Average 3.7/5 across 3 of 3 tools scored. Lowest: 3/5.

    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
  • 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.

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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

  • Behavior2/5

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

    No annotations are provided, so the description carries full burden. It only says 'detecting structure' without disclosing side effects, preconditions, or what the tool modifies. The agent cannot predict the tool's behavior confidently.

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

    Conciseness4/5

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

    The description is two sentences with no fluff and front-loaded. It is concise and well-structured, though the brevity sacrifices necessary detail.

    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?

    Given it has an output schema but no annotations, the description fails to explain what 'finalizes project setup' does, what structure detection involves, or what the output contains. The description is too minimal for an agent to understand the tool's complete contract.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters1/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The schema has one required parameter (root_working_directory) with no description, and the tool description doesn't mention it at all. With 0% schema description coverage, the agent has zero semantic understanding of this parameter.

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

    Purpose4/5

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

    The description states a clear action ('Finalizes project setup') and resource, and distinguishes from sibling tools (init_project) by indicating this is a post-creation step. However, 'finalizes' is somewhat vague and doesn't specify what the finalization entails.

    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?

    Provides explicit when-to-use guidance: 'Call this tool immediately after creating any new project.' This makes the invocation context clear. It doesn't mention when not to use it or alternatives, but the instruction is specific enough.

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

  • Behavior2/5

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

    With no annotations, the description carries the full burden of behavioral disclosure. It mentions the setup contents but lacks critical details such as whether existing files will be overwritten, whether the path must be empty, or whether network access is required. These omissions leave safety and side-effect behavior unclear.

    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 concise and well-structured: a clear purpose statement, a compact bullet list of dependencies, and an explicit Args section for the parameter. Every line contributes to understanding, with no redundant 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?

    For a simple tool with one parameter and an output schema, the description adequately covers the core purpose and setup details. However, it omits behavioral prerequisites and side effects, which are important for an initialization tool. The presence of an output schema reduces the need to describe return values, but the missing safety context slightly lowers completeness.

    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 schema provides no description for the 'path' parameter, but the description clarifies that it expects an absolute path, which adds meaningful semantics. While it could include constraints like 'must be empty' or 'will create directory', the current explanation is sufficient for a single-parameter tool.

    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 initializes a new React project at a specified path and lists the specific technologies included (Vite, Tailwind CSS, TanStack Query, Tabler Icons). This distinguishes it from sibling tools like obox_fastapi_init_project, which is focused on FastAPI.

    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?

    The description implies usage for creating a React project with the listed technologies but does not explicitly state when to use it or when not to. It does not reference sibling tools or provide alternative tool suggestions, leaving usage context only implicit.

    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?

    With no annotations provided, the description carries the transparency burden. It discloses the key actions: initializing a project, setting up a uv environment, and installing fastapi[standard]. While it does not detail side effects like overwriting or network requirements, it provides meaningful behavioral context beyond the tool name.

    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 concise and front-loaded, with the primary purpose stated in the first sentence. The Args section is structured and provides necessary details without unnecessary verbosity.

    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?

    The description covers the main functionality and all parameters, and an output schema exists so return details are omitted. It lacks explicit preconditions (e.g., whether the path must be empty) but is adequate for a project initialization tool.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The schema has no parameter descriptions (0% coverage), but the description's Args section explains both parameters: path is an absolute path, and python_version is the Python version with a default of '3.12'. This fully compensates for the schema's lack of semantic detail.

    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 specifies the tool's function: 'Initializes a new FastAPI project at the specified path.' It also details the setup steps (uv environment, FastAPI installation), making it distinct from sibling tools like react_init_project.

    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?

    The description implies usage for FastAPI project initialization but does not explicitly mention when to use it versus alternatives or provide exclusions. Usage context is inferred from the tool name and description rather than stated directly.

    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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