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BACH-AI-Tools

Midjourney Best Experience MCP Server

generate_fast

Generate images quickly with asynchronous queue notifications to a custom hook URL. Typical generation time is 40-60 seconds.

Instructions

generate the images fast Generate queue asynchronous notifications to hook_ url, overall generation time is around 40-60s

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesExample value: a beautiful cat --ar 1920:1080
hook_urlNoif set will notify the result to your hook_url
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 discloses asynchronous notification via hook_url and a generation time estimate (40-60s), which adds useful behavioral context. However, it does not describe what happens if hook_url is omitted, the return format, or potential side effects, limiting completeness.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, consisting of two short sentences, but it suffers from formatting issues like double spaces and a missing underscore in 'hook_ url'. It communicates the core idea efficiently but lacks polish and clear structure.

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

Completeness2/5

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

Given the tool has two parameters, no output schema, and no annotations, the description omits important context. It does not explain how to retrieve results (a sibling tool 'get_job_by_task_id' suggests job tracking), nor does it clarify differences with similar tools like 'generate_relax'. The missing details compromise completeness for effective agent use.

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%, so the baseline is 3. The description marginally adds value by mentioning 'asynchronous notifications to hook_ url' and the generation time, which relates to the prompt parameter. However, it does not significantly enhance parameter semantics beyond what the schema already provides for both 'prompt' and 'hook_url'.

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 'generate the images fast' and provides an estimated generation time (40-60s), clearly indicating the tool's purpose of fast image generation with a specific speed benchmark. However, it does not differentiate from sibling tools like 'generate_relax' or 'action_fast', which are likely similar but with different speed or action contexts.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives. No explicit when-to-use or when-not-to-use information is given, leaving the AI agent to infer usage from the name and brief description alone.

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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