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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_imageoptimizer_create_rule

Create image transformation rules for Image Optimizer projects. Preview changes using dryRun before saving.

Instructions

Create a new transformation rule for an Image Optimizer project. Use dryRun=true to preview without creating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthNoTarget width in pixels
dryRunNoIf true, returns a preview without actually creating the rule
formatNoOutput image format
heightNoTarget height in pixels
qualityNoOutput quality (1-100, default: 75)
ruleNameYesRule name
projectIdYesProject ID to add the rule to
autorotateNoWhether to auto-rotate based on EXIF data
resizeTypeNoResize type: f(fit), w(width), h(height), fw(force width), fh(force height), wh(width+height), h_wm(height with watermark)
Behavior3/5

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

Annotations already declare destructiveHint=false, indicating safety. Description adds the dryRun preview behavior, which is useful context beyond annotations. However, no mention of rate limits, auth needs, or side effects.

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?

Description is two short sentences, front-loaded with purpose. No extraneous information; every word earns its place.

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

Completeness3/5

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

Description adequately states function and dryRun option, but given no output schema, it does not mention return values or response format. For a straightforward creation tool, this is minimally acceptable but could be more complete.

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?

Input schema has 100% description coverage with clear parameter descriptions. The tool description does not add additional meaning beyond what the schema already provides, meeting the baseline for high coverage.

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?

Description clearly states 'Create a new transformation rule for an Image Optimizer project', specifying verb and resource. This distinguishes it from sibling tools like list_rules or delete_rule.

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?

Mentions 'Use dryRun=true to preview without creating', providing clear guidance on safe preview vs actual creation. Does not explicitly cover when not to use or alternatives to this tool.

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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