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practice

Read a specific sentence aloud to receive a detailed pronunciation assessment with phoneme-level feedback.

Instructions

Drill mode: the user reads a specific sentence aloud and gets a detailed pronunciation assessment. Use this when the user explicitly wants to practice reading a particular sentence, not for free-form chat.

For voice conversation with casual feedback, use converse instead.

Recording auto-stops when the user finishes speaking.

Args: reference_text: The sentence the user will read aloud. duration: Maximum recording duration in seconds (default 15, max 120).

Returns: Detailed pronunciation assessment report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reference_textYes
durationNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses auto-stop recording behavior and returns a detailed assessment. However, it could elaborate on processing time or privacy aspects. Overall, sufficiently transparent.

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?

Description is concise with clear sections: purpose statement, usage contrast, auto-stop detail, then structured args/returns. Every sentence is useful with no fluff.

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?

Covers use case, parameters, return, and differentiation from siblings. Could hint at required microphone access, but output schema exists, making it complete enough for an agent to act.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Description adds meaning to both parameters: reference_text is 'the sentence to read aloud', duration includes default and max values. Schema has 0% coverage, so description fully compensates.

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 is for drill mode pronunciation assessment of a specific sentence, distinguishing it from free-form chat and sibling tools like 'converse'. The verb 'practice' directly conveys the purpose.

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

Usage Guidelines5/5

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

Explicitly states when to use (explicit practice of a particular sentence) and when not to (free-form chat). Names the alternative 'converse' for casual feedback, providing clear guidance.

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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