Skip to main content
Glama

generate_accessibility_fix_plan

Generate a prioritized accessibility fix plan for a webpage, providing actionable recommendations to resolve WCAG compliance issues.

Instructions

Generate accessibility fix recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdNo
pathnameNo/
Behavior2/5

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

The description offers only the vague statement 'Generate accessibility fix recommendations' without any behavioral details such as read-only nature, side effects, required permissions, or error conditions. With no annotations available, the description carries the full burden of transparency but fails to disclose anything beyond the basic purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is structurally concise, but it omits essential information. It earns its place as a purpose statement but does not contribute context beyond that, so conciseness is only partially satisfactory.

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

Completeness1/5

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

Given the lack of annotations and output schema, and the presence of two undocumented parameters, the description is far too sparse to provide a complete operational picture. The agent would not know what inputs to provide or what a 'fix recommendation' entails, especially with multiple similar generation tools in the sibling set.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema includes two parameters (taskId, pathname) with no descriptions, and the tool description doesn't mention them at all. With 0% schema description coverage, the agent cannot infer parameter meanings or constraints from the description, leaving it completely unsupported.

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 states the action ('Generate') and the resource ('accessibility fix recommendations'), which clearly conveys the tool's purpose. However, it does not differentiate this from sibling tools like run_accessibility_audit or generate_seo_fix_plan, and the wording is close to a restatement of the tool name.

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 is provided for when to use this tool versus alternatives. The bare one-liner does not mention prerequisites, context, exclusions, or sibling tools, so the agent has no basis for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rootellectecomm/rootellectmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server