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Keyframer

Create a scene in Keyframer

create_scene

Save a scene and get an editor URL where it opens in the visual editor (timeline, canvas, node graphs, mobile QR preview). Validates first. Works without a key: the scene is then a public 24-hour guest scene with a scannable QR, kept forever by signing up (free) and pressing Remix. With a key it saves to the account (free accounts up to the free scene limit, paid unlimited).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoScene name shown in the editor (default "MCP scene")
sceneYesThe scene as a JSON object (preferred) or a JSON string. Call get_scene_format for the shape.
make_publicNoMake the scene publicly viewable — its share link (keyframer.dev/share/<id>) and QR then work for anyone, not just this account

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only indicate this is not read-only, not idempotent, and not destructive. The description adds substantial behavioral context: it validates first, creates a public guest scene with QR when no key is provided, persists the scene after signup/Remix, and enforces account limits for keyed saves. This goes far beyond what annotations convey.

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 dense but efficient: three sentences front-load the primary outcome, then validation, then guest-versus-key behavior. Every clause carries operational information, and there is no filler or repetition of the title.

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?

For a creation tool with no output schema and minimal annotations, the description is remarkably complete. It covers the return value (editor URL), the validation step, guest persistence and QR behavior, account behavior with limits, and the role of signing up/remixing. An agent has enough context to invoke it correctly and set expectations.

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%, and the schema already documents all three parameters: name default, scene format with a pointer to get_scene_format, and make_public sharing behavior. The description adds no parameter-specific detail, so the baseline of 3 applies.

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 states a specific verb and outcome: 'Save a scene and get an editor URL where it opens in the visual editor.' This clearly distinguishes create_scene from siblings like validate_scene or update_scene by emphasizing creation plus the editor-URL result.

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 gives clear usage conditions around authentication: works without a key as a public 24-hour guest scene, or with a key saving to an account with limits. It does not explicitly say 'use update_scene for existing scenes' or 'use validate_scene if you only want validation,' so it stops short of full alternative routing.

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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