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Get export download command

get_export_command
Read-onlyIdempotent

Build the authenticated download URL + a ready-to-run curl line for a zip export (character engine bundle, asset bundle, or map bundle). Run the curl in your own shell — zips are multi-MB binaries and must not be passed through the model. Requires SPRITESHIP_API_KEY to be set in that shell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoPhaser character exports only — narrow the zip to one downscale variant. Godot, Unity, and GameMaker always use full-resolution source frames.
engineYesTarget engine. "tiled" is maps only; sprites have no Tiled emitter.
targetYesWhat to export.
entityIdYesCharacter id, asset id/slug, or map id.

TDQS

A4.5/5.0
Behavior5/5

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

Although the annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, the description adds essential behavioral context beyond these flags. It discloses that the tool does not return binary data but a shell command, explains the reasons (size constraints), and notes the external API key requirement. This is valuable transparency that annotations don't capture.

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?

The description is two sentences, front-loaded with the core action, and every sentence adds value—what it does and why you must run it externally. No fluff or repetition; it is perfectly sized for the content.

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 the lack of an output schema, the description adequately implies the return value (a URL and curl command). It covers usage context, prerequisites, and scope, providing enough information for an agent to invoke the tool correctly. The schema richly documents parameters, and annotations cover safety, so the description is complete for its complexity.

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?

The schema already provides 100% parameter documentation with detailed descriptions for all four parameters. The description adds minimal extra meaning, such as mapping 'target' to bundle types and confirming that 'size' applies only toaser character exports, but these are partially reflected in the schema. Baseline 3 is appropriate since the schema does the heavy lifting.

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 builds an authenticated download URL and a ready-to-run curl command for zip exports, covering character, asset, and map bundles. It distinguishes itself from sibling export tools by specifying the output is a command to run externally, not an actual download.

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 description explains when to use this tool (when you need a downloadable export) and provides a critical usage instruction: run the curl in your own shell because zips are multi-MB binaries that must not pass through the model. It also mentions the prerequisite of SPRITESHIP_API_KEY, but does not explicitly name alternative tools or exclusions.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, and the descriptions are extremely detailed with cross-references (e.g., animate_asset vs frame_animation vs generate_character_animation). A few pairs like reprocess_asset vs revise_asset could be confused initially, but their descriptions and use cases are explicit enough to prevent misselection.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_project, get_asset, cancel_job). Verbs are imperative and nouns are appropriately singular/plural, making the API predictable and readable.

Tool Count2/5

At 41 tools, the server is far beyond the 15-25 range considered reasonable for most APIs. While the domain is broad (project, assets, characters, animations, jobs, exports, credits), the sheer number creates a heavy surface that may overwhelm agents and suggests the API could be consolidated into higher-level operations.

Completeness4/5

The tool set covers the full creative pipeline: project creation, asset/character generation, animation (both AI and frame-based), revisions, exports, and job management. Minor gaps include lack of delete operations for assets/characters/projects and no listing of all jobs, but these are not critical for the core workflow and are likely intentional for a generative art platform.

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