get_interfaceUse when you already have a public Gravity AI UI gallery id and need the sanitized public interface metadata, composed payload, thumbnail URLs, page URL, and copyable React code.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Public Gravity AI UI gallery interface id. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds specific return contents (metadata, composed payload, thumbnails, page URL, React code) and notes the data is 'sanitized public', adding context beyond the structured fields. It doesn't cover error cases or pagination, but the tool is simple with one id.
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?
The description is a single, front-loaded sentence that efficiently communicates the exact use case and expected outputs. No 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?
Given the simple one-parameter nature, strong annotations, and the description explicitly enumerating the return data, the tool is fully specified. No output schema exists, but the description covers what the agent can expect to receive.
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?
Schema coverage is 100% and the parameter 'id' is described as 'Public Gravity AI UI gallery interface id' in both the schema and the tool description. The description adds no extra meaning or examples beyond what the schema already provides, so the baseline score of 3 is appropriate.
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 clearly states the tool's function: given a public Gravity AI UI gallery id, it returns sanitized interface metadata, composed payload, thumbnail URLs, page URL, and copyable React code. It distinguishes from siblings (generate, refine, search) by focusing on retrieval of an existing interface by id.
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?
The description provides a clear condition for use ('when you already have a public Gravity AI UI gallery id'), implying that this is not for finding or creating interfaces. However, it doesn't explicitly name alternatives or exclusions, though the sibling list and phrase 'already have' offer context.
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.
Each tool has a clearly distinct purpose: generate creates new interfaces, get fetches by specific id, refine modifies existing payloads, and search discovers by keywords. No two tools have overlapping boundaries, making it easy for an agent to select the right one.
All tools follow a verb_noun pattern with underscores (generate_interface, get_interface, refine_interface, search_interfaces). The only minor deviation is the pluralization of 'interfaces' in search_interfaces, which is a common exception for discovery operations and does not hinder readability.
With only 4 tools, the server is tightly scoped for the domain of Gravity AI UI generation and retrieval. Each tool serves a necessary role without redundancy or bloat, fitting well within the ideal range.
The tool surface covers the complete lifecycle for a design generation service: create, read, update, and discover. While there is no explicit delete or publish, those actions are intentionally excluded per the descriptions, so there are no dead ends for typical workflows.