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midjourney_get_seed

Retrieve the seed from a generated Midjourney image to replicate results or fine-tune prompts with the --seed parameter.

Instructions

Get the seed value of a previously generated Midjourney image.

The seed is a numeric value that controls the randomness of generation.
Using the same seed with the same prompt will produce similar results,
which is useful for reproducible generation or fine-tuning prompts.

Use this when:
- You want to reproduce a specific generation result
- You need the seed to use with --seed parameter in prompts
- You want to create variations with consistent base randomness

Returns:
    The seed value for the specified image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_idYesThe ID of the generated image to get the seed for. This is the 'image_id' field from a previous imagine result.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the seed's purpose but does not disclose any behavioral traits like idempotency, delays, or side effects. The read-only nature is implied but not stated explicitly.

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 concise (5 sentences) with a clear structure: purpose, explanation, usage list, and return statement. No unnecessary words.

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?

Given the tool's simplicity (one parameter, no nested objects, output schema present), the description covers all necessary information: what it does, when to use, and what it returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds meaningful context: 'This is the 'image_id' field from a previous imagine result.' This clarifies the origin of the parameter beyond the schema's description.

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 the verb 'Get' and the resource 'seed value of a previously generated Midjourney image'. It is specific and distinct from sibling tools like midjourney_imagine or midjourney_describe.

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 lists three explicit use cases (reproduce result, get seed for --seed, create variations). It does not state alternatives or when not to use, but the context is clear enough.

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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