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alii13

Accessibility MCP Server

by alii13

export_to_json

Export accessibility audit results as structured JSON with optional pretty-printing and raw results for integration into other tools.

Instructions

Export audit results as structured JSON. Supports pretty-printing and optional raw results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prettyNoPretty-print JSON (default: true).
resultsYesAudit results object or URL string. If URL is provided, an audit will be run first.
includeRawNoInclude raw accessibility engine results (default: false).
Behavior2/5

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

No annotations provided, so description must convey behavioral traits. It only states the output format and optional features, but does not disclose side effects, limitations, or any required permissions. For a simple export, this is minimal.

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 concise sentences front-load the purpose and add details without waste. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple export tool with well-documented parameters, the description is adequate but does not clarify the return format or the 'audit results' source. Slightly above minimal.

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 description coverage is 100%, so the schema already documents parameters well. The description adds no extra meaning beyond what the schema provides, achieving the baseline of 3.

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

Purpose4/5

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

The description clearly states the tool exports audit results as JSON, which is specific and differentiates from sibling export tools (CSV, Excel, HTML). It also mentions key features like pretty-printing and raw results.

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 (e.g., CSV, Excel). No mention of prerequisites or context for 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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