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Showoff.dev – AI Mockup Generator

Render a preview sketch

render_preview
Read-only

Renders a fast schematic sketch of a project so you can check your work: exact perspective, geometry, screenshot placement, text and colors, without lighting or materials, optionally with object ids and review findings outlined. Use it after every create_project or edit_scene and inspect the image critically against the checklist in the guide (cut-off screen content, doubled status or menu bars, notch blocks, wrong orientation, collisions, text), then fix what you find; use export_image only for the final rendered image. Films: a contact sheet of frames (frames) or one frame at time. Launch videos: frames of the video itself, by default the key moment of every block, with its lines, a chat and the end card. Store sets: all images side by side, texts in language. Read-only; it never counts as an export. Returns the sketch image and a short summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timeNoFilms and launch videos: one frame at this second.
widthNoWidth of the sketch in pixels, 320 to 1600 (default 1024; a store set gets 360 per image).
framesNoFilms and launch videos: this many frames, evenly spaced, on one sheet.
labelsNoOutline object ids and review findings on the sketch (default true). false shows the clean picture.
languageNoStore sets: show the texts in this language of the set (default the first).
project_idYesProject id (from create_project or list_projects).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, and the description reinforces this while adding genuinely new context: what is rendered versus omitted (no lighting/materials), optional label overlays, per-project-type framing behavior, and that it 'never counts as an export'. This is behavior an agent could not infer from the annotations alone.

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

Conciseness4/5

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

The core purpose is front-loaded in the first clause, and the workflow/alternative guidance follows. The prose is dense and mostly earns its place, though the checklist enumeration and per-type rules make it longer than strictly necessary.

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

Completeness5/5

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

Despite no output schema, the description states what comes back ('the sketch image and a short summary'), covers the workflow and the sibling alternative, and explains the non-obvious framing semantics for films, launch videos, and store sets. Nothing an agent needs to call it correctly is missing.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description nonetheless adds meaning beyond the schema by tying parameters to project types: `frames`/`time` apply to films and launch videos, launch videos default to the key moment of every block, and store sets use `language` and lay images side by side.

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?

States a specific verb and resource ('renders a fast schematic sketch of a project') and immediately scopes it against siblings by contrasting with export_image. An agent can distinguish it from export_image without opening either schema.

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?

Explicitly prescribes when to use it ('after every create_project or edit_scene'), what to do with the result ('inspect the image critically against the checklist... then fix what you find'), and names the alternative with its condition ('use export_image only for the final rendered image').

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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