highchart-mcp-server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: create_chart generates a Highcharts configuration object, while render_chart takes a full configuration and renders it. No overlap or ambiguity exists.
Naming Consistency5/5Both tool names follow a consistent verb_noun pattern (create_chart, render_chart) in snake_case, making them predictable and easy to understand.
Tool Count3/5With only 2 tools, the server is minimal. While it covers core chart creation and rendering, it feels thin for a full-featured charting service, potentially missing operations like listing or managing chart configurations.
Completeness4/5The server covers the essential lifecycle of generating and rendering a chart configuration. Minor gaps exist, such as lacking update or delete operations, but the domain is straightforward and the provided tools suffice for basic use.
Average 3.5/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 24 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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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?
No annotations are provided, so the description carries the burden. It describes the tool as generating and returning a configuration object, which implies no side effects. However, it does not explicitly state that the tool is non-destructive or lacks side effects, and it omits any discussion of rate limits or auth requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences, no wasted words, and front-loads the primary action. It effectively communicates the core function without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 4 parameters and no output schema. The description does not detail the return structure (e.g., what a valid Highcharts JSON looks like) nor any error conditions. It is adequate but lacks depth that would help with complex usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description adds no parameter-level detail. The description only says 'structured input' without explaining the meaning of fields like 'type', 'title', 'xAxisCategories', or 'series'. For example, it doesn't clarify that 'type' must be one of the provided enums.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states what the tool does: 'Generate a Highcharts configuration object from structured input.' It specifies the verb (generate) and resource (Highcharts configuration object), and differentiates from sibling 'render_chart' by indicating it returns the config JSON that can be rendered elsewhere.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for generating chart configuration, but it does not explicitly say when to use this tool versus the sibling 'render_chart'. No guidance on prerequisites or exclusions is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the server validates `chart.type` and `series` and passes other options through. However, it does not describe the return value, side effects, or any required authentication, leaving gaps for a mutation-like operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary purpose. Every sentence provides essential information without redundancy or unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a nested object parameter and no output schema, the description covers input behavior well but omits return value details and potential constraints (e.g., output format, limits). More context would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds significant meaning beyond the raw schema by clarifying that the parameter accepts any valid Highcharts Options and that all properties are passed through. This compensates for the 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Render a chart from a full Highcharts configuration object,' specifying the action and resource. It distinguishes from the sibling 'create_chart' by implying rendering versus creation, but does not explicitly differentiate usage scenarios.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for rendering when a full Highcharts config is available, but it does not provide explicit guidance on when not to use it or how it compares to 'create_chart'. No exclusions or alternatives are mentioned.
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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- Evaluate tool definition quality.
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