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list_pronunciation_dictionaries

Get saved pronunciation dictionaries by name, ID, and version for applying to speech generation or speaker profiles.

Instructions

List saved pronunciation dictionaries (name → id/version). Apply one via generate_speech/speak pronunciation= or save_speaker pronunciation=.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden. It transparently indicates a read-only listing operation, and even discloses the return shape (name → id/version). It does not mention side effects or access requirements, but for a simple list tool this is sufficient.

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 concise sentences front-load the purpose, then provide practical usage guidance. Every word earns its place with no redundancy or filler.

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?

Given the zero-parameter schema and the presence of an output schema, the description fully covers what the tool does, what it returns, and how to apply the results. It is complete for an agent to select and use this tool correctly.

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?

The tool has zero parameters, so the baseline is 4. The description adds meaning by explaining the output format and how to use the returned values, which is valuable context beyond the empty 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 clearly states the tool's function: 'List saved pronunciation dictionaries' with a specific verb and resource. It also specifies the output format (name → id/version), which distinguishes it from other list tools and provides clear scope.

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 explicitly points to alternative tools for applying a dictionary ('generate_speech/speak pronunciation= or save_speaker pronunciation='), giving clear context on when this listing tool is useful. It lacks an explicit 'when not to use', but the alternative guidance is strong.

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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