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Davoooda

Woopicx MCP Server

by Davoooda
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JavaScript
Remote

Server Quality Checklist

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

  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusing it with others. The tool's purpose is clearly defined for searching Woopicx assets.

    Naming Consistency5/5

    The tool name 'search_woopicx' follows a consistent verb_noun pattern, which is clear and standard even as a lone tool.

    Tool Count3/5

    A single tool feels thin for an MCP server, especially with a broad server name, but it is adequate for a focused search use case. The count is borderline rather than extreme.

    Completeness4/5

    The search tool returns asset titles and URLs, covering the search workflow end-to-end. Minor omissions like dedicated asset detail retrieval or category browsing exist but are not essential.

  • 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
    • 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

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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    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

  • Behavior3/5

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

    With no annotations provided, the description carries the transparency burden. It does disclose that the tool searches free graphics and returns asset titles and URLs, which is helpful. However, it does not mention authentication requirements, rate limits, pagination behavior, or any side effects, leaving some behavioral aspects 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 two sentences long, directly states the purpose and return value, and includes a compact list of asset categories. Every element earns its place without redundancy or unnecessary detail.

    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 search tool with a fully described input schema and no output schema, the description is largely complete: it identifies what is searched, the categories, and the return format. Minor gaps remain around result ordering, pagination limits beyond the limit parameter, and error behavior, but these are not critical for basic usage.

    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 provides complete descriptions for all three parameters (query, limit, collection), including defaults and enum values for collection. The description adds only example search categories via the prose listing, but does not meaningfully extend the parameter semantics beyond what the schema already offers.

    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's function with a specific verb ('Search') and resource ('free graphics on Woopicx'), and lists concrete categories (3D icons, mockups, stock photos, etc.). It also notes what is returned (asset titles and woopicx.com URLs), making the purpose unambiguous.

    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 searching free graphics on Woopicx and provides category examples, but there is no explicit guidance on when to choose this tool over alternatives or any exclusions. Since no sibling tools are listed, the guidance is only implicit.

    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 there are no obvious security issues.
  • Evaluate tool definition quality.

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