analyze_widget_design
Evaluate widget WCAG contrast ratios, mobile ergonomics, and microcopy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
Evaluate widget WCAG contrast ratios, mobile ergonomics, and microcopy.
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Evaluate' implies a read-only analysis, but the description does not state whether it mutates data, what permissions are needed, or what kind of output is produced. Beyond naming the evaluation dimensions, behavioral context 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that is front-loaded with the verb and enumerates the assessed dimensions without any wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description should explain return values and preconditions, but it does neither. It also omits any explanation of the required bot_id parameter, leaving an agent uncertain about what to expect from the call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter bot_id has 0% schema description coverage, and the description does not mention it at all. The parameter name is reasonably self-explanatory, but the description provides no additional meaning about scope, format, or how it relates to the analysis.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Evaluate') and names the resource plus three concrete assessment areas (WCAG contrast ratios, mobile ergonomics, microcopy). This is clearer than a generic 'analyze' tool, though it doesn't explicitly distinguish itself from siblings like customize_widget_styling or preview_widget_html.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It states what is evaluated but gives no guidance on when to use this tool versus alternatives such as customize_widget_styling or preview_widget_html. There is also no mention of prerequisites or when this analysis is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.