3DLogo.io

Save a generated mesh as a project

save_generation_as_project

Idempotent

Keeps a completed run in Projects (idempotent per run). With public=true it is also published, which gives a share page and a public GLB URL the user can download.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`title`	No
`public`	No
`run_id`	Yes

Output Schema

TableJSON Schema

Name	Required	Description
`id`	Yes
`url`	Yes	Opens the project in its studio
`kind`	Yes
`title`	Yes
`isPublic`	Yes
`modelUrl`	Yes	Public GLB, for published meshes
`shareUrl`	Yes	Public page, when published
`inputType`	Yes
`kindLabel`	Yes
`updatedAt`	Yes	ISO 8601
`thumbnailUrl`	Yes	Saved thumbnail; needs the owner's browser session

Schema Changelog

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

Changed6 schema fields changedSep 6, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

changedOutput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

removedOutput schema / properties / inputType / anyOf

Removed value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]

addedOutput schema / properties / inputType / type
```
Added value: +[
+  "string",
+  "null"
+]
```

removedOutput schema / properties / updatedAt / anyOf

Removed value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]

addedOutput schema / properties / updatedAt / type
```
Added value: +[
+  "string",
+  "null"
+]
```

First observedSep 6, 2026

TDQS

A3.8/5.0

Behavior4/5

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

Beyond the idempotentHint annotation, the description adds meaningful behavioral context: setting public=true causes publication, creates a share page, and provides a public GLB URL for download. This is valuable side-effect information that the annotations alone do not convey.

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?

Two concise sentences carry the core behavior and the key conditional side effect without fluff. The most important information is front-loaded, and every sentence earns its place.

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?

The description is largely complete given the annotations and presence of an output schema. It explains the main action, idempotency, and public-publishing behavior; the only notable gaps are explicit alternative routing and the optional title parameter.

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?

With 0% schema description coverage, the description must compensate for parameter meaning. It explains public=true well and links run_id to a completed run, but it does not clarify the title parameter beyond what its name and schema imply.

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 clear action—keeping/ saving a completed run into Projects—and pairs well with the title 'Save a generated mesh as a project.' It is specific enough to be understood, though it does not explicitly differentiate itself from sibling project-creation tools.

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 'completed run' implies the tool should be used after generation finishes, and the public=true condition clarifies an optional publishing use case. However, it does not explicitly say when NOT to use it or name alternatives such as set_project_public or create_text_logo_project.

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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TDQS

A3.8/5.0

Disambiguation3/5

Most tools target distinct resources, but several overlapping pairs exist: search/list_projects both find projects by title, fetch/get_project both return project details, and upload_logo_image/request_logo_image_upload are two upload paths. The descriptions help clarify boundaries, but an agent could still misselect.

Naming Consistency4/5

Tool names overwhelmingly follow a clear verb_noun snake_case pattern (create_, list_, get_, update_, delete_). Minor deviations like bare 'fetch' and 'search', plus the mixed '3d' in generate_3d_model vs '3D' in descriptions, keep it from being perfectly consistent.

Tool Count2/5

At 31 tools, this exceeds the 25+ threshold where agent tool selection becomes cognitively heavy. While the server covers a broad platform, several tools are near-redundant and could be consolidated, making the count feel inflated.

Completeness4/5

The surface covers project lifecycle, sharing/publishing, AI generation, uploads, materials, and account/plan management quite thoroughly. Minor gaps exist, such as no direct create_coin_project tool and no deletion for generation runs, but these are workable.

Resources

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