Skip to main content
Glama
DIV7NE
by DIV7NE

describe_ui

Generate a structured UI report from a screenshot: ASCII layout wireframe, element inventory with positions, states, and visible text, plus visual notes for layout analysis.

Instructions

Structured UI report for a screenshot of a user interface (app window, web page, game menu): ASCII layout wireframe, element inventory (label | role | approx x%,y% | size | state) with exact visible text, and short visual notes. Prefer this over describe_image when you need layout, element positions and states rather than general prose.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It thoroughly discloses the output structure (wireframe, element inventory, visual notes), making the tool's behavior clear. However, it does not mention potential input restrictions or error handling for the path parameter, which leaves a minor gap.

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, each earning its place. The first packs in the full output format, the second provides guidance on when to use the tool. No wasted words.

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?

For a one-parameter analysis tool, the description provides enough context to understand what the tool returns and when to use it. The output schema exists but is not shown, so the textual description of output components is helpful. However, the lack of any explanation about the path parameter slightly reduces completeness.

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

Parameters2/5

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

The schema has a single 'path' parameter with no description (0% schema description coverage). The tool description never mentions the path parameter, so it does not compensate for the missing schema detail. The agent must infer from the tool name and general context that 'path' refers to a screenshot file, but no explicit format or constraints are given.

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 tool produces a structured UI report for a screenshot, explicitly listing the output components (ASCII layout wireframe, element inventory with positions and states, visual notes). It also distinguishes itself from the sibling tool describe_image by referencing specific use cases.

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

Usage Guidelines5/5

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

The description explicitly says 'Prefer this over describe_image when you need layout, element positions and states rather than general prose.' This gives direct, actionable guidance on when to choose this tool over the alternative.

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/DIV7NE/deepseek-vision-mcp'

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