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vocametrix_calculate_prosody_similarity

Compare a reference and learner speech recording to get prosody similarity scores for pitch, intensity, duration, and pauses. Ideal for accent coaching and pronunciation training.

Instructions

Compare prosodic patterns between a model (reference) recording and a learner recording. Returns similarity scores for pitch contour, intensity, duration, and pause patterns. Useful for accent coaching, speech imitation training, and L2 pronunciation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelPathYesModel (reference/teacher) WAV recording
learnerPathYesLearner (student) WAV recording to compare
Behavior3/5

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

No annotations exist, so the description carries full burden. It states the tool returns similarity scores, implying no side effects, but does not disclose read-only behavior, file format prerequisites (e.g., WAV specifics), or any limitations. This is adequate but not rich on behavioral context.

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 two sentences: first states the action and output, second lists similarity aspects and use cases. Every sentence is substantive, with no redundancy or fluff, achieving high information density.

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?

Given full schema coverage, no output schema, and no annotations, the description covers purpose, parameter roles, and return types. It lacks file format constraints or further behavioral details, but for a comparison tool it is fairly complete; minor gaps in prerequisites prevent a higher score.

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%, and descriptions are provided. The tool description adds value by clarifying roles (modelPath as reference/teacher, learnerPath as student) beyond the schema's generic descriptions, aiding correct parameter use.

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 the tool compares prosodic patterns between model and learner recordings and returns specific similarity scores (pitch contour, intensity, duration, pause patterns). It also lists use cases (accent coaching, speech imitation training, L2 pronunciation), effectively distinguishing it from sibling tools like vocametrix_assess_pronunciation.

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 description implies usage for prosody comparison but does not explicitly state when to use this tool versus alternatives (e.g., segmental assessment tools). No direct comparisons or when-not-to-use guidance is provided, leaving the agent to infer from context.

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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