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Keyframer

Scene format authoring guide

get_scene_format
Read-only

The Keyframer scene JSON format — read this before authoring a scene. Section "scene" covers elements/keyframes/easing; section "nodes" covers node graphs (procedural animation: clocks, springs, repeaters) with the full node-type schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoDefault "scene"

TDQS

A4.2/5.0
Behavior3/5

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

The readOnlyHint annotation already covers the read-only safety profile, and the description adds useful context about the guide's content organization. It does not describe the exact return format or whether output is markdown, text, or structured JSON, but for a documentation tool this is not a major gap.

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 deliver the core purpose, usage timing, section map, and key content examples with no filler. The most important guidance ('read this before authoring a scene') is front-loaded.

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?

For a one-parameter documentation tool with a read-only annotation, the description covers the essential sections and content boundaries. It leaves unstated what the tool actually returns, and since there is no output schema the description could have been slightly more explicit, but the purpose is still clear enough for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents the single optional section parameter with a default and enum, so the baseline is 3. The description adds real value by explaining what each enum value actually contains: 'scene' covers elements/keyframes/easing, while 'nodes' covers procedural animation graphs, clocks, springs, and repeaters.

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 identifies the tool as an authoring guide for the Keyframer scene JSON format, not a scene fetch or mutation operation. It distinguishes itself from the sibling get_scene by focusing on the format and schema documentation.

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?

It explicitly says to read this before authoring a scene, giving a clear temporal placement relative to create/update/validate tools. It does not explicitly name alternatives or exclusions, but the 'before authoring' context is sufficient for typical use.

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

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct resource or action: scene CRUD, validation, motion sampling, recipe lookup, code generation, and QR preview. Potential pairs like validate_scene vs sample_scene are clearly separated as structural validation vs motion evaluation, and get_scene vs get_recipe differ by source and purpose.

Naming Consistency5/5

Tool names consistently follow a verb_noun snake_case pattern: create_scene, get_scene, list_scenes, update_scene, validate_scene, search_recipes. The few compound nouns like get_preview_qr and get_scene_format still fit the same predictable convention.

Tool Count5/5

11 tools is well within the ideal range and each tool serves a clear part of the scene authoring workflow: discovery, validation, sampling, editing, compiling, and previewing. None feel redundant or extraneous for the stated purpose.

Completeness4/5

The toolset covers the core scene lifecycle well: create, read, list, update, validate, sample, generate code, and preview. The main gap is the absence of a delete_scene tool, which is a minor omission since the authoring and iteration workflow is otherwise fully supported.

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