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alii13

Accessibility MCP Server

by alii13

generate_dashboard

Generate a visual dashboard summarizing accessibility audit results with key metrics and charts, available in text, markdown, HTML, or JSON format.

Instructions

Create a visual dashboard summary of audit results with key metrics, charts, and summaries. Supports multiple formats (text, markdown, HTML, JSON) and optional charts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format: "text" (plain text), "markdown" (markdown format), "html" (HTML report), or "json" (structured JSON). Default: "markdown".markdown
resultsYesAudit result object(s) or URL string(s). If URL(s) provided, audit(s) will be run first.
includeChartsNoInclude ASCII/text charts in the dashboard (default: true).
Behavior2/5

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

No annotations, so description carries full burden. Does not disclose behavioral traits like side effects (e.g., whether it stores data), performance considerations, or how URLs trigger audits. Lacks transparency beyond schema.

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?

Two sentences, front-loaded with the core purpose. No fluff or redundancy.

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?

Covers essential aspects for a dashboard tool given schema richness. Could elaborate on dashboard content or include usage notes, but still sufficiently complete for selection.

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?

Schema coverage is 100%, baseline 3. Description adds minor context about 'key metrics, charts, and summaries' and format options but does not significantly deepen parameter meaning beyond the 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?

Clearly states the tool creates a 'visual dashboard summary of audit results with key metrics, charts, and summaries'. Differentiates from sibling tools like export functions and generate_summary_report by emphasizing dashboard visuality and format flexibility.

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?

No guidance on when to use this tool versus alternatives. Does not mention scenarios where other tools (e.g., generate_summary_report, export_to_html_report) might be more appropriate.

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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