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asset_render_turntable

Render a GLB model as a looping turntable GIF, one full revolution, plus mesh stats. Price: $0.25 USDC via x402, charged only on success. Part of Asset render: Pictures of a 3D model for agents that cannot see: catalog views, a turntable GIF, and isometric sprite sheets for 2.5D games.

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": "asset_render_turntable"
  }
}

Input Schema

NameRequiredDescriptionDefault
glbNoBase64 GLB.
sizeNo
framesNo
glbUrlNo
upAxisNoauto

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does meaningful work: it discloses the x402 payment model, the exact price ($0.25 USDC), and critically that billing occurs only on success. It also names what comes back (GIF plus mesh stats). It omits failure/refund behavior and any rate or size limits, which keeps it from a 5.

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 capability and pricing are front-loaded in two tight sentences. The third sentence about the wider 'Asset render' family is slightly lower-value but earns its place by differentiating siblings, so there is little waste overall.

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 5-parameter, zero-required, unannotated tool with no output schema, the description covers purpose and cost but leaves the input selection ambiguous (glb vs glbUrl) and only gestures at the return value via 'mesh stats'. Adequate to start, not complete enough to invoke confidently on the first try.

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 only 20% — just the bare 'Base64 GLB.' on glb. The description says 'a GLB model' but never explains the relationship between glb and glbUrl (mutually exclusive? one required?), nor what size, frames, or upAxis do. With 5 parameters, 0 required, and low coverage, the description should have compensated and does not.

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 ('Render'), a specific input ('GLB model'), and a specific output artifact ('looping turntable GIF, one full revolution, plus mesh stats'). The final sentence positions it inside the 'Asset render' family alongside catalog views and isometric sprite sheets, so an agent can distinguish it from asset_render_views and asset_render_sprites without opening their schemas.

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

Usage Guidelines4/5

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

The family sentence gives clear context for when this tool applies — producing visual output of a 3D model for agents that cannot see, specifically the rotating-view variant rather than static catalog views or sprite sheets. There are no explicit exclusions or preconditions (e.g. what to do with a local file vs a URL), so it stops short of a 5.

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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