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huikku

pixmax-mcp

by huikku

Prompting guide

prompting_guide

Get prompting rules for video, image, audio, or 3D media, including structure, camera motion vocabulary, and failure modes to avoid common output errors.

Instructions

Get the prompting craft rules for a medium (video, image, audio, 3d) — how to structure a prompt, camera/motion vocabulary for video, how to use references, and the common failure modes. Pass a model to also get that model's specific tips and hard limits. Call this BEFORE writing a prompt for an unfamiliar medium or model — video especially has rules that silently ruin output (e.g. implying a cut makes the model morph instead).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoA model code or name — appends its specific prompting tips + constraints, and infers the category
categoryNoWhich medium's playbook. Optional if `model` is given (inferred from it)
Behavior4/5

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

Despite no annotations, the description clearly indicates it's a retrieval tool (get rules) and reveals behavioral traits like inferring category from model and appending model-specific tips. Could explicitly state it's read-only.

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?

Two sentences, each purposeful. First defines tool contents, second gives usage and a cautionary example. No wasted words, front-loaded with key info.

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 no output schema, the description adequately conveys return value (rules, tips, failure modes). Both parameters detailed, usage guidance provided, and complexity is low. Sufficient for agent to select and invoke.

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 covers both parameters completely. Description adds value by explaining model infers category and appends specific tips, and category is the medium's playbook, beyond schema descriptions.

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 it retrieves prompting craft rules for a medium, including structure, vocabulary, references, and failure modes. It distinguishes itself from sibling generation tools by focusing on guidance before creation.

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?

Explicitly advises calling before writing prompts for unfamiliar mediums or models, with a concrete example of video pitfalls. Lacks explicit when-not-to-use but provides strong contextual guidance.

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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