Skip to main content
Glama

Generate a 3D model from text

forge_free

Turn a text prompt into a textured, downloadable 3D model (GLB), free. Describe a single object, character, or creature; the studio generates an interactive model you can rotate, view, and download. Optional quality tier (draft, standard, high); high is slower and may fall back to standard under load. Renders inline in an interactive 3D viewer. Use this when the user wants a new 3D object, character or creature from a text description.

Input Schema

NameRequiredDescriptionDefault
tierNoDetail level: draft (fastest), standard (default), or high (best, slower; may fall back to standard under load).
promptYesDescription of the single object or character to model, e.g. "a friendly round robot mascot, glossy white plastic".
idempotency_keyNoOptional: any string you choose (up to 200 characters) that names this one generation, such as a task id. Calling again with the same key within 24 hours returns the original job instead of starting a new one, so a retry after a timeout never generates twice. Use a new key for a new model.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / idempotency_key / description
      Previous value: -"Optional retry key. Send the same key again (same caller, same arguments, within 24 hours) and you get the original job back instead of a second generation, so a retry after a timeout cannot burn quota twice. Use a fresh key for each distinct request. A failed attempt is not remembered, so its key can be reused."New value: +"Optional: any string you choose (up to 200 characters) that names this one generation, such as a task id. Calling again with the same key within 24 hours returns the original job instead of starting a new one, so a retry after a timeout never generates twice. Use a new key for a new model."
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare a non-read-only, open-world, non-idempotent, non-destructive operation, and the description usefully adds tier trade-offs (high is slower and may silently fall back to standard) plus the 24-hour idempotency window. The one wrinkle is that idempotentHint=false alongside an idempotency_key parameter is left unreconciled, but it is not a direct contradiction.

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 the 'single object' constraint are front-loaded, and the sentences are dense with useful facts. There is some mild redundancy between 'interactive model you can rotate, view, and download' and 'renders inline in an interactive 3D viewer.'

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

Completeness4/5

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

With no output schema, the description does the work of explaining what comes back: a GLB rendered in an inline interactive viewer, downloadable. Tier degradation and retry semantics are covered; only cross-sibling routing guidance is missing.

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 100%, so all three parameters including tier enum and idempotency_key are already documented in the schema. The description restates tier behavior and the single-object constraint rather than adding new syntax or semantics, so 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 states a specific verb and resource: converts a text prompt into a textured, downloadable GLB 3D model, with the constraint of a single object/character/creature. It is clear and concrete, but it never names the closest siblings (forge_avatar, mesh_forge, text_to_avatar), so the agent must infer which one to pick.

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?

It gives an explicit trigger: 'Use this when the user wants a new 3D object, character or creature from a text description.' However, it offers no when-not conditions or named alternatives (e.g. refine_model for edits, forge_avatar for avatars).

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.