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Request an upload URL for a logo file

request_logo_image_upload

For a logo file on the user's machine that cannot be sent inside a tool call: returns a mark id and a one-shot HTTPS PUT URL. Upload the raw file bytes to it (for example curl -T logo.png "<uploadUrl>"), then call build_logo_editor_link with the mark id (or create_image_logo_project when signed in). Accepts PNG, JPEG, GIF, WebP (8 MB) and SVG (1 MB).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameNoThe file name, used as the project title later

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nextYes
acceptYes
markIdYes
methodYes
exampleYes
maxBytesYes
uploadUrlYesAbsolute https URL the user can open
maxSvgBytesYes

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

A4.3/5.0
Behavior4/5

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

The description discloses important behavior beyond the annotations: it returns a mark id and a one-shot HTTPS PUT URL, requires raw file bytes to be uploaded by the caller, and specifies supported formats and size limits (PNG, JPEG, GIF, WebP at 8 MB, SVG at 1 MB). This gives the agent a solid model of how the tool works. The 'one-shot' detail is especially valuable because it warns the URL cannot be reused.

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?

The description is well-structured and front-loaded: it states the purpose, explains the returned artifact, gives a concrete curl example, and lists constraints. Every sentence earns its place, and the length is appropriate for the complexity of the workflow.

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

Completeness5/5

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

The description is complete for the tool's workflow: it explains why this tool exists, what it returns, how to upload the file, what to do next, and what file types and sizes are accepted. Even though an output schema exists, the description gives enough context for an agent to invoke the tool and use its result correctly.

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%, and the schema already explains that file_name is used as the project title later. The tool description adds general context about logo files but does not add much specific meaning to file_name beyond what the schema provides. A baseline of 3 is appropriate because the parameter is adequately documented by the schema.

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 states a specific purpose: requesting a one-shot HTTPS PUT URL for a logo file that cannot be included in a tool call. It clearly identifies the resource (logo file), the action (request upload URL), and the key outputs (mark id and upload URL). It is easy to distinguish from siblings like upload_logo_image because it explicitly scopes itself to files that cannot be sent inside a tool call.

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 gives clear when-to-use context: use this for a logo file on the user's machine that cannot be sent inside a tool call. It also provides the subsequent steps, telling the agent to call build_logo_editor_link or create_image_logo_project with the mark id. It does not explicitly name an alternative tool such as upload_logo_image, but the condition 'cannot be sent inside a tool call' implies the alternative case.

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