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generate_transform_url

Generate a Cloudinary transformation URL with custom parameters for image processing tasks not covered by standard resize functions. Specify width, height, crop, and more.

Instructions

Generate a Cloudinary transformation URL with specific parameters. Use this for custom transforms not covered by resize_for_platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cropNoCrop mode
widthYesTarget width
formatNoOutput format (auto, jpg, png, webp)
heightYesTarget height
gravityNoGravity (auto, auto:faces, center, north, south, etc.)
qualityNoQuality (auto, auto:best, auto:good, auto:eco, or 1-100)
publicIdYesCloudinary public_id
backgroundNoBackground (gen_fill, blurred, auto, or hex color)
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 states 'Generate a Cloudinary transformation URL', implying a read-only, non-destructive operation, but does not explicitly disclose side effects, authorization needs, rate limits, or idempotency. Minimal but not misleading.

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 with no unnecessary words. The first sentence states the purpose, the second gives usage guidance. Every sentence earns its place.

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?

Despite the tool having 8 parameters and no output schema, the description is minimal. It does not explain the return format (a URL string), provide examples, or mention error handling. Essential context for correct invocation is missing.

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 coverage is 100% with all parameters having descriptions in the schema. The tool description adds no additional meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 the tool generates a Cloudinary transformation URL with specific parameters, and explicitly distinguishes from sibling tool resize_for_platform by noting custom transforms. Verb 'Generate' and resource 'Cloudinary transformation URL' are specific and unambiguous.

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?

Description explicitly tells when to use this tool ('for custom transforms not covered by resize_for_platform'), providing clear context relative to a sibling. It does not mention other siblings or scenarios, but the guidance is sufficient for the primary alternative.

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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