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Build a 3D coin studio link

build_coin_studio_link
Read-onlyIdempotent

Returns a link that opens the 3D coin studio with a mark struck into a coin. Looks: gold, chrome, silver, bronze. Works without an account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fontNo
lookNo
textYesThe mark text, up to 24 characters
blankNo
motionNo
coinColorNoHex colour, e.g. #1a1a1a
logoColorNoHex colour, e.g. #1a1a1a
backgroundNoHex colour, e.g. #1a1a1a
environmentNoLighting room

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAbsolute https URL the user can open
textYes

Schema Changelog

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

  1. Changed2 schema fields changed
    • 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"
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, and non-destructive behavior. The description adds valuable behavioral context by stating the tool returns a link and requires no account. There is no contradiction with annotations, and the extra context is meaningful even beyond the structured hints.

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?

Three short sentences with no filler. The core return behavior is front-loaded, followed by a compact list of look options and a highly relevant account note. 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?

For a link-building tool with an output schema, safe annotations, and self-descriptive enums, the description is adequate. It clearly explains the main purpose, output form, and account requirement. More explicit param semantics or alternative-tool routing would help, but the agent can still invoke the tool correctly from this definition.

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 56%, so the description is expected to compensate moderately. It adds meaning for 'text' as a struck mark and repeats the look values, but the schema already lists those enums. It does not describe blank, motion, or font, though their enum value names are fairly self-explanatory. Overall, the description adds some value but depends on the schema for most parameter meaning.

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 a specific verb and resource: 'Returns a link that opens the 3D coin studio with a mark struck into a coin.' This distinguishes it from sibling tools like build_logo_editor_link or create_share_link, and the one-sentence core purpose is unambiguous.

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 description makes the intended use clear: generate a link that opens a coin studio with a struck mark. It also adds a useful usage condition with 'Works without an account.' It does not explicitly name alternatives or exclusions, but the context is strong enough for an agent to select it for link-generation requests.

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