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Forge-Space

@forgespace/ui-mcp

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by Forge-Space

submit_feedback

Rate and comment on generated UI components to help UIForge learn your preferences and enhance future generations.

Instructions

Submit feedback on a previously generated UI component or page template. This helps UIForge learn your preferences and improve future generations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
generation_idYesThe ID of the generation to provide feedback for
ratingYesRating from 1 (poor) to 10 (excellent)
feedback_typeYesType of feedback: explicit (user-provided) or implicit (behavior-based)
commentsNoOptional detailed feedback comments
issuesNoList of identified issues in the generated component
strengthsNoList of identified strengths in the generated component
component_typeNoType of component (e.g., button, form, layout)
frameworkNoTarget framework (e.g., react, vue, svelte)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions learning preferences but omits behavioral traits like idempotency, mutations, permissions, or side effects.

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?

The description is two concise sentences, front-loading the action and purpose without unnecessary words.

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

Completeness2/5

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

With 8 parameters, no output schema, and no annotations, the description does not cover return values, confirmation, or what happens after submission, leaving the agent underinformed.

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 is 3. The description adds no additional meaning beyond the schema; it does not explain the rating scale context or feedback_type in more detail.

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 clearly states the verb 'Submit feedback' and specifies the resource as 'previously generated UI component or page template', which is distinct from sibling tools like 'refine_component'. It also explains the purpose of learning preferences.

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?

The description implies usage after generation but provides no explicit when-to-use, when-not-to-use, or alternatives. With 8 siblings, lack of differentiation is a problem.

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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