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xiaobenyang-com

Quick-Chart

by xiaobenyang-com
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TypeScript

Server Quality Checklist

58%
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 ambiguity or overlap between tools, as there are no other tools to confuse it with. The tool's purpose is clearly defined to generate chart images via the Quick Chart API.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect with no deviations or mixed conventions to evaluate. The tool name 'GetChartImgLink' follows a clear verb_noun pattern.

    Tool Count2/5

    A single tool is too few for a chart generation server, as it lacks basic operations like creating different chart types, customizing parameters, or managing charts, which limits functionality and scope. This feels thin and incomplete for the domain.

    Completeness1/5

    The tool set is severely incomplete for chart generation, offering only one tool to get a chart image link without support for creating, updating, deleting, or customizing charts, which are essential operations in this domain. This will likely cause agent failures due to missing capabilities.

  • Average 2.4/5 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

  • This repository is licensed under Apache 2.0.

  • 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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden. It mentions the tool draws a chart and returns an image link, but doesn't disclose behavioral traits like whether this requires external API calls, rate limits, authentication needs, error conditions, or what format the link returns in. The description adds minimal behavioral context beyond the basic operation.

    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 appropriately concise with two clauses that directly address purpose and parameter usage. It's front-loaded with the main action and avoids unnecessary words, though it could be slightly more structured by separating usage notes from purpose.

    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 the tool has no annotations, no output schema, and minimal parameter documentation, the description is incomplete. It covers the basic operation but lacks details on behavior, return values, error handling, and comprehensive parameter guidance, making it inadequate for reliable agent use.

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

    Parameters2/5

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

    The input schema has 1 parameter with 0% description coverage. The description adds that parameters follow 'Quick Chart API (quickchart.io)' grammar, which provides some semantic context about the expected format, but doesn't explain what the 'json' parameter should contain, what chart types are supported, or provide examples. This partially compensates for the schema gap but remains insufficient.

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

    Purpose3/5

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

    The description states the tool's purpose: 'draw chart and get chart image link by parameters', which is a clear verb+resource combination. However, it's somewhat vague about what kind of chart or what specific resources are involved, and with no sibling tools to distinguish from, it lacks differentiation context.

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

    Usage Guidelines2/5

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

    The description provides no guidance on when to use this tool versus alternatives. It mentions that 'parameter grammar follows Quick Chart API (quickchart.io)', which hints at context but doesn't explicitly state when this tool is appropriate or what prerequisites exist for its use.

    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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