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magnific_creations_upload_file

Import a file the user attached in the host (e.g. a ChatGPT upload) as a creation, then use the returned identifier in image tools. Use this instead of asking for a URL when the user already uploaded a local file. For a public URL use creations_upload_image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

The description discloses that the tool mutates state by importing the host-attached file as a creation and returns an identifier for subsequent image tool calls. However, it does not detail side effects (e.g., whether the original file is consumed, whether the creation is persisted) or any prerequisites/auth needs. The annotations already provide readOnlyHint=false and destructiveHint=false, so the description adds some but not rich behavioral context, warranting a mid score.

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 three sentences and every sentence adds value: the action, the usage condition, and the alternative. There is no redundant content, and the structure front-loads the core behavior.

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 single-parameter tool with no output schema, the description covers the main action, the triggering scenario, the alternative for URLs, and the result's follow-up use. It is slightly incomplete in not describing the exact return shape or any limitations (e.g., accepted file types) and it references the sibling tool with a slightly different name (`creations_upload_image`). Overall it is sufficiently complete for an agent to select and begin using the tool.

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 schema description coverage at 0%, the description carries the burden. It tells the agent that the `file` parameter represents a user-attached host file (e.g., a ChatGPT upload), which is valuable context, and implicitly distinguishes it from a URL. However, it does not clarify the roles of the nested `file_id`/`download_url` subfields, so the semantics are only partially explained.

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 uses a specific verb ('Import') with a clear resource ('a file the user attached... as a creation') and states the downstream purpose ('use the returned identifier in image tools'). It also names the alternative for public URLs, which helps distinguish it from the sibling `magnific_creations_upload_image`. Overall it clearly identifies what the tool does and how it differs from related tools.

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

Usage Guidelines5/5

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

The description explicitly says 'Use this instead of asking for a URL when the user already uploaded a local file', which defines the trigger condition. It also provides an exclusion: 'For a public URL use `creations_upload_image`'. This is exactly the kind of when-to-use vs alternative guidance expected.

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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