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Get Keyframes

get_keyframes

Reads keyframe data (frame, value, interpolation) from a specific animation track. Combine with list_tracks to discover animated parameters. Optionally filter by frame range.

Instructions

Read the keys on a specific animation track. Combine with list_tracks to discover which (param_id, component) pairs are animated. Returns [{frame, value, interp}]. Optional start_frame / end_frame clip the range inclusively.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fpsNoOverride for BaseTime → frame conversion.
handleYesAnimated entity.
param_idYesTop-level description id of the parameter.
componentNoSub-component for vector parameters. Omit / null for scalar tracks.
end_frameNoInclusive upper frame bound.
start_frameNoInclusive lower frame bound.
Behavior4/5

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

The description explicitly states this is a read operation ('Read'), which implies no side effects. It mentions the return format `[{frame, value, interp}]` and the optional clipping, providing clear behavioral expectations without annotation support.

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, each earning its place: the first states the main action and usage hint, the second details optional parameters and return format. No fluff, front-loaded with the primary purpose.

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 6 parameters and no output schema, the description covers the core purpose, parameter semantics, and usage hints. It briefly mentions the return format, which is sufficient for a read-only tool. Could elaborate on return structure, but overall complete.

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?

Schema coverage is 100%, but the description adds meaning by explaining the handle as an 'animated entity,' clarifying start_frame/end_frame as 'inclusive,' and distinguishing component usage for vector vs scalar tracks. This adds value beyond the schema definitions.

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 'Read the keys on a specific animation track,' which is a specific verb-resource pair. It distinguishes itself from sibling tools like list_tracks (discovery) and delete_keyframe (mutation) by focusing on reading keyframes.

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 advises using list_tracks to discover param_id and component pairs, and notes that start_frame and end_frame clip the range. It lacks explicit when-not-to-use or alternatives, but the guidance is clear for the common use case.

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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