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dallask

Accessibility MCP Server

by dallask

compare_accessibility

Track accessibility improvements by comparing two audits, highlighting fixed, introduced, and remaining issues with score changes and visual diff.

Instructions

Compare two accessibility audits to track improvements. Identifies issues that were fixed, introduced, or remain, with score improvement and visual diff summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterYesCurrent audit results object or URL string. If URL is provided, an audit will be run first.
beforeYesPrevious audit results object or URL string. If URL is provided, an audit will be run first.
formatNoOutput format: "summary" for concise comparison, "detailed" or "diff" for comprehensive diff visualization (default: summary).summary
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the output content (fixed/introduced/remaining issues, score change, visual diff). It does not mention side effects like auto-running audits on URL input, but that is already captured in the 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 primary purpose and key output categories. No redundant information or filler.

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 tool is simple, the schema is rich, and the description covers the essential behavioral outcome. It lacks mention of prerequisites or error conditions, but for a comparison tool this is adequate without being exhaustive.

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 explains before/after/format in detail. The description adds no new parameter-level meaning beyond what the schema provides, so baseline 3 is appropriate.

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 uses a specific verb+resource ('Compare two accessibility audits') and clearly differentiates from siblings like get_accessibility_score or track_accessibility by stating it identifies fixed, introduced, and remaining issues plus score improvement and visual diff summary.

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

Usage Guidelines4/5

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

The description makes the use case clear: tracking improvements between two audits. It does not explicitly name alternatives or exclusions, but the sibling tools for single audits or scores make the comparison purpose distinct.

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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