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neocortex

QuickChart MCP Server

by neocortex

generate_chart

Create charts by providing type, datasets, labels, and options. Get a QuickChart URL or download the image to your desired path.

Instructions

Generate a chart using QuickChart.

Args:
    chart_input: Chart configuration including type, datasets, labels, title, and options
    download: If True, download the chart image and return the saved file path; otherwise return the URL
    output_path: Path where the chart image should be saved if download=True. If not provided,
                the chart will be saved to the script directory.
    
Returns:
    The URL of the generated chart if download=False, otherwise the path where the chart was saved

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
downloadNo
chart_inputYes
output_pathNo
Behavior4/5

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 clearly explains the two output modes (URL vs. file path), the default output_path behavior, and the return value. It also implicitly discloses file-writing side effects when download=True, which is valuable context.

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 well-structured with Args and Returns sections, and every sentence provides essential information. It is concise with no redundancy, making it easy for an AI agent to parse and act upon.

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 core aspects: inputs, download options, and return values. It does not mention potential network dependencies or error conditions, but for a tool of this complexity, the provided context is largely adequate. The presence of a detailed input schema further fills in the gaps.

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's top-level parameters have 0% description coverage, so the description must compensate. It fully does: chart_input is summarized as 'configuration including type, datasets, labels, title, and options', download explains its boolean effect, and output_path clarifies its optional nature and default destination. This adds significant meaning beyond the raw schema.

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 'Generate a chart using QuickChart', which is a specific verb+resource combination. It unambiguously identifies the tool's purpose and the service it wraps, leaving no room for confusion 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 Guidelines3/5

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

The description does not discuss when to use this tool versus alternatives, and no sibling tools are provided for context. It offers indirect usage guidance through parameter descriptions (e.g., download=True to save), but there is no explicit statement of when this tool should be chosen.

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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