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add_weighted_value_track

Attach a float property track to a Level Sequence binding to animate weight, alpha, or scalar blend values. Returns created track and section details.

Instructions

Add a Float property track on a numeric property (weight / alpha / scalar blend) to a Level Sequence binding. Thin domain wrapper over add_property_track.

Returns: Forwarded response from add_property_track: { sequence_name, binding_guid, property_type, property_name, track_class, section_class, section_created, section_count, saved }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_labelNoOptional display label for the new track.
binding_guidYesGUID of the binding to attach the weighted value track to.
property_nameNoName of the float property to drive (default "Weight").
sequence_nameYesName of the target Level Sequence.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare the non-read-only, non-idempotent, non-destructive profile, so the safety burden is partly lifted. The description adds genuine value by disclosing the return payload (section_created, section_count, saved), which tells the agent that adding the track also creates a section and persists it — context not available from any structured field.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

placeholder

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?

The tool is a mutation with annotations covering its safety profile and a full-coverage schema; the only structural gap is the absence of an output schema, which the description compensates for by enumerating the returned fields. Nothing essential for a correct call is missing.

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%, so all four parameters are already documented in the schema, establishing the baseline of 3. The description adds minor semantic framing by clarifying that the numeric property is a weight/alpha/scalar blend, but offers no extra syntax or default detail beyond the schema.

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 (Add), a concrete resource (Float property track on a numeric property), and the exact target (a Level Sequence binding). It further distinguishes itself from the sibling add_property_track by framing itself as a 'thin domain wrapper,' so an agent can tell them apart without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The note that it is a 'thin domain wrapper over add_property_track' implies a selection relationship between the two tools, but it never explicitly says when to prefer this tool over the generic add_property_track or add_weighted_value_keyframe. Usage is implied rather than spelled out.

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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