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render_object_preview

Render a single object preview image with automatic framing using EEVEE. Define object name, margin, resolution, and file path to generate a thumbnail in one step.

Instructions

Renderiza miniatura de objeto en 1 paso: auto_frame + render EEVEE.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marginNo
filepathNo/tmp/supermcp_preview.png
resolutionNo
object_nameNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations contain only a title, so the description carries the full disclosure burden. It does reveal the use of EEVEE and auto_frame, but it never states whether the engine change persists in the scene, whether auto_frame mutates the camera transform, whether an existing file at filepath is overwritten, or what the call returns. For a tool that likely modifies scene state, these are significant undisclosed 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.

Conciseness4/5

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

A single sentence front-loads the verb and resource and packs the entire workflow into a colon-separated summary with zero wasted words. The structure is efficient and scannable, though it is arguably under-sized relative to the information load this tool needs to carry given its sparse schema and annotations.

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 no behavioral annotations, no output schema, and 0% schema description coverage, this one-liner cannot fully equip an agent. Missing pieces include per-parameter meaning, output semantics (file written to filepath), side effects on the scene/engine/camera, overwrite behavior, and routing guidance versus camera_render, auto_frame_camera, or get_viewport_screenshot.

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?

Schema description coverage is 0%, yet the description explains none of the four parameters. The mention of 'auto_frame' weakly implies margin controls framing and 'miniatura de objeto' hints that object_name selects the target, but margin, resolution, filepath, and object_name semantics — including the meaning of an empty object_name default — are left entirely to inference from names and defaults.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb ('Renderiza') and resource ('miniatura de objeto'), then specifies the exact workflow in '1 paso: auto_frame + render EEVEE'. This clearly conveys a one-step object-thumbnail render and implicitly separates it from siblings like auto_frame_camera or camera_render, which only cover part of that workflow. It does not name alternative siblings explicitly, so it stops short of a 5.

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

Usage Guidelines3/5

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

The phrase 'en 1 paso' implies the tool exists to collapse the auto_frame + EEVEE render pipeline into one call, which is an implicit usage cue against chaining auto_frame_camera, render_set_engine, and camera_render. However, there are no explicit when-to-use/when-not-to-use statements, no prerequisites, and no alternatives named despite many overlapping rendering siblings.

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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