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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

A3.8/5.0
Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds no further behavioral details (e.g., side effects, limitations, file size caps) beyond the transformation options. The repeated 'FREE' is irrelevant and doesn't contribute behavioral transparency. With good annotation coverage, the added value is limited.

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 core description is a compact two sentences that effectively cover the tool's capabilities. However, the 'FREE. (FREE)' is duplicative noise that doesn't add value, detracting from the overall conciseness. It earns a 3 rather than a 4.

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

Completeness4/5

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

With 8 parameters and no output schema, the description covers the primary capabilities and supported options. It mentions output formats (TIFF/PDF) and paper sizes, which aligns with schema enums. It stops short of explaining the response structure (e.g., a download link or binary), but given the rich schema and annotations, the description is reasonably complete for an initial understanding.

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%, and each parameter has a description. The description mentions DPI, bleed, crop marks, sizes, and output formats, but these are also in the schema. It doesn't add meaning beyond the schema, such as explaining the custom size dependency or the base64 encoding requirement. 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?

The description uses a specific verb ('Prepare') and resource ('images for professional printing') and lists concrete processing details (DPI, bleed margins, crop marks). This clearly distinguishes it from sibling tools like resize_image or convert_color_profile. It also mentions output formats and supported paper sizes, making the tool's scope unmistakable.

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?

The phrase 'for professional printing' clearly frames when this tool should be used. It doesn't explicitly name alternatives or when-not-to-use, but the print-specific context is enough to infer it's the right choice for print-ready output. Could be improved by explicitly contrasting with resize_image/convert_color_profile, but that's not required for a clear context.

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

A3.6/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between get_artwork and get_artwork_oracle, which both retrieve artwork metadata with different detail levels, potentially causing confusion. Other tools like enrich_metadata and infuse_metadata also have related but distinct functions, but descriptions help clarify differences.

Naming Consistency4/5

Tool names generally follow a consistent verb_noun pattern (e.g., check_balance, delete_asset, resize_image), with minor deviations like mockup_image (noun_verb) and get_artwork_oracle (longer compound name). Overall, the naming is readable and predictable, though not perfectly uniform.

Tool Count3/5

With 27 tools, the count is borderline high for a single server, as it covers a broad range of functionalities from artwork retrieval to image processing and compliance. While each tool seems useful, the scope feels heavy and could overwhelm agents, suggesting it might be better split into more focused servers.

Completeness5/5

The tool set provides comprehensive coverage for digital asset management, artwork analysis, and image processing, including CRUD operations (save_asset, get_asset, list_assets, delete_asset), metadata enrichment, compliance, and various image utilities. No obvious gaps are present for the stated domain.

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