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print_ready

Read-onlyIdempotent

Prepare images for professional printing with DPI, bleed margins, crop marks. Supports A4, A3, Letter, poster (24x36), custom sizes. Output as TIFF or PDF. FREE. (FREE)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dpiNoOutput DPI
imageYesBase64-encoded PNG/JPEG image
bleed_mmNoBleed margin in mm (0-10)
crop_marksNoDraw crop marks in bleed area
product_sizeNoStandard paper sizea4
output_formatNoOutput formattiff
custom_width_mmNoCustom width in mm (required if product_size=custom)
custom_height_mmNoCustom height in mm (required if product_size=custom)

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description does not need to reiterate safety. It adds 'FREE. (FREE)' as a cost note but does not disclose any other behavioral traits beyond what annotations provide. The description is consistent with annotations, no contradiction.

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

Conciseness4/5

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

The description is a single sentence that covers the main features, followed by a repetitive 'FREE. (FREE)'. This is efficient but slightly redundant. It is front-loaded and to the point.

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?

Given the tool has 8 parameters and no output schema, the description covers the core functionality but does not explain what the output is (e.g., returns the prepared image as base64 or a file). While the schema is rich, the description could be more complete by mentioning output format or limitations (e.g., max image size).

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 each parameter is already documented. The description repeats some information (e.g., supported sizes) but does not add new meaning beyond the schema. Per rules, baseline is 3, and the description does not exceed that.

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 tool prepares images for professional printing and lists specific features (DPI, bleed margins, crop marks) and supported sizes (A4, A3, Letter, poster, custom) and formats (TIFF, PDF). This distinguishes it from sibling tools like resize_image or remove_background, which serve different purposes.

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

Usage Guidelines3/5

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

The description implies usage for printing preparation but does not explicitly state when to use this tool versus alternatives, nor does it mention when not to use it. No exclusions or alternatives are provided, leaving the agent to infer usage context from the features listed.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct operation—artwork retrieval, image processing, asset management, watermarking, etc.—with clear descriptions that prevent confusion. Even similar tools like enrich_metadata and get_artwork_oracle are differentiated by depth and purpose.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern in snake_case (e.g., get_artwork, remove_background, register_hash). The few non-verb-starting names (compliance_manifest) are standard and do not break the overall pattern.

Tool Count4/5

27 tools is slightly above the typical range but justifiable given the broad domain covering artwork access, image processing, and digital rights. Each tool serves a unique purpose without redundancy.

Completeness5/5

The tool set covers the full lifecycle: search, retrieve, analyze, edit, save, and verify assets. Gaps are minimal—e.g., no metadata deletion tool—but the core workflows are fully supported, and the inclusion of compliance and provenance tools adds value.