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Glama

rupa_lihat

Read-only

Render a 3D scene from named or custom angles to PNG images for visual inspection. Camera framing fits the object; returns file paths for verification.

Instructions

Render beberapa sudut ke PNG dan kembalikan jalurnya — BACA gambarnya sesudah ini, jangan mengaku selesai dari angka saja. Kamera dan lampu dipasang otomatis dari kotak batas adegan, jadi objek sekecil atau sebesar apa pun tetap terbingkai. Sudut bernama: depan, belakang, kiri, kanan, atas, bawah, hero, serong; atau "yaw,pitch" dalam derajat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fovNo
mesinNoCYCLES untuk kaca/pembiasan yang benar; EEVEE jauh lebih cepat tapi menampilkan kaca sebagai susu buram.CYCLES
ruangNoNama ruang kerja; tiap ruang punya adegan.blend sendiri.utama
sudutNo
contohNo
ukuranNo
latar_tembusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.2

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, so safety is known. The description adds valuable behavioral context beyond that: camera and lights are automatically set from the scene bounding box, ensuring framing regardless of object size, and the enforcement that the agent must read the image. This is beyond what the annotations convey and helps the agent understand side effects and limitations.

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 description is two sentences, front-loaded with the primary action and output, followed by the automatic camera/lighting behavior and the angle list. It is efficient and packed with necessary information without excessive fluff. The second sentence is long but logically structured.

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

Completeness3/5

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

For a tool with 7 parameters and no output schema, the description covers the core purpose, return type (PNG paths), and a critical behavioral requirement (read the image). However, it does not describe the output format beyond paths, nor does it explain several parameters. Given the moderate complexity, it is adequate but not fully complete.

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 low at 29%, with only mesin and ruang having descriptions. The description compensates for the most complex parameter, sudut, by listing named angles and the 'yaw,pitch' format in degrees. However, it does not clarify other parameters like fov, contoh, ukuran, or latar_tembus. Given the low coverage, the description partially compensates but leaves gaps.

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 renders multiple angles to PNG and returns their paths, with a specific verb and resource. It also lists supported angle names and a custom format, making the purpose unambiguous and distinct from any sibling that might just view or inspect a scene.

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 description provides no explicit comparison to sibling tools or conditions for when to choose this over alternatives. However, it does offer behavioral guidance: 'BACA gambarnya sesudah ini, jangan mengaku selesai dari angka saja' (read the image, don't claim done from numbers alone), which tells the agent to actually visually inspect the output. This is useful but not a full when-to-use/alternatives discussion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.