Skip to main content
Glama

Create a 1-frame animation from a pose

create_animation_from_pose

FREE, no AI. Promote a pose into a real 1-frame animation (a still/idle) that is scaled to match the character's other animations and exports to every engine. Pass poseId "idle" to use the character's default image when it has no poses. Returns a jobId — poll get_job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fpsNoPlayback fps.
newIdNoSlug for the new animation ([A-Za-z0-9_-]).
poseIdYesPose id, or "__idle__" for the character's default image.
characterIdYesCharacter id.
displayNameNoHuman-facing label.

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already indicate non-read-only and non-destructive behavior. The description adds valuable context: it returns a jobId (asynchronous, requiring polling get_job), handles the __idle__ special case, scales the animation to match other animations, and exports to every engine. These details go beyond the annotations and set accurate expectations for the agent.

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?

Three sentences, each serving a distinct purpose: the first states the core functionality and differentiators, the second covers the __idle__ edge case, and the third explains the async return and polling. Information is front-loaded and every sentence earns its place.

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?

There is no output schema, so the description properly explains the return value (jobId) and directs the agent to poll get_job. It also covers the __idle__ fallback and the scaling/export behavior, making the tool's workflow clear. For a moderate 5-parameter tool, this is sufficient.

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%, with all 5 parameters described in the schema. The description reinforces the special '__idle__' value for poseId but does not add new information about fps, newId, displayName, or characterId beyond what the schema already provides. 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 ('Promote a pose') and clearly identifies the output as a 'real 1-frame animation (a still/idle)'. It distinguishes from siblings by emphasizing the pose-to-animation conversion and the scaling to match other animations, making the tool's purpose 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 description states this is 'FREE, no AI', implying it is a lightweight alternative to AI-driven animation generation. It clearly explains the use case: converting a pose into a 1-frame animation that scales and exports. However, it does not explicitly name alternative tools or state when not to use it, so it falls short of fully explicit guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources