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Pixal3D-MCP

Pixal3D-MCP

by Lightfielder
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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preview_model_sequence

Render GLB model sequences into PNG previews, with optional frame range filtering to inspect specific animation frames before final export.

Instructions

Render a GLB model sequence to preview PNG images with optional frame range filtering.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "preview_model_sequence"
  }
}

Input Schema

NameRequiredDescriptionDefault
max_sizeNoMaximum preview dimension in pixels (default: 512)
frame_endNoEnding frame number (optional)
input_pathNoSequence pattern or IFL file for GLB files
frame_startNoStarting frame number (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  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?

With no annotations, the description carries the full behavioral burden, and it discloses very little. It does not say whether PNGs are written to disk or returned, where they are stored, whether the pipeline/model must be loaded first (a load_pipeline sibling exists), or whether the operation has side effects or costs. 'Render' implies output generation but the mechanics are unstated.

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?

A single, front-loaded sentence that states the input format, the output format, and the key optional capability with zero filler. Nothing is wasted.

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?

For a rendering tool with no annotations and no output schema, the description is too thin: it omits where previews are written, whether a pipeline must be loaded beforehand, and how the sequence pattern is resolved. The agent lacks enough context to invoke this correctly against its siblings.

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 description coverage is 100%, so the schema already documents all four parameters including their optionality and defaults. The description adds only a restatement of 'optional frame range filtering', which maps to frame_start/frame_end but contributes no syntax or format detail beyond the schema. Baseline 3 applies.

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 names a specific verb (Render), resource (GLB model sequence) and output (preview PNG images), which clearly distinguishes it from the single-model preview_model sibling. However, it does not explicitly reference the siblings it differs from, so the agent must infer the distinction from the word 'sequence' alone.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no prerequisites, and no naming of alternatives such as preview_model or preview_images. The phrase 'optional frame range filtering' hints at the frame parameters but does not tell the agent when this tool is the right choice.

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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