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callremind

CallRemind MCP Server

Official
by callremind

listTtsProviders

List available text-to-speech providers and their static voices to help you select the right option for your call notifications.

Instructions

List available TTS providers and their static voices (OpenAI, ElevenLabs, MiniMax, Qwen, Kokoro, Edge).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.6

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. The verb 'List' implies a non-destructive read operation and the scope is clearly stated, but it does not mention authentication needs, response shape, or what 'available' means exactly (configured providers vs all possible providers).

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 a single, front-loaded sentence that conveys the purpose and enumerates the included providers without excesssive detail. Every part earns its place.

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?

For a zero-parameter, no-output-schema tool, the description is nearly complete. It names the exact providers and the scope ('static voices'). It could strengthen agent selection by noting how it differs from sibling list tools, but overall it provides enough context for a correct call.

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 input schema has zero parameters, so there are no parameter semantics to explain. A baseline score of 4 is appropriate because no parameter compensation is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('List') and identifies the resource ('available TTS providers and their static voices') plus the included providers. It is clear and understandable, but it does not explicitly differentiate itself from sibling tools like listVoices and listEdgeVoices, so it stops short of full sibling discrimination.

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

Usage Guidelines2/5

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

There is no guidance about when to choose this tool over its siblings. The description only states what it lists, leaving the agent to infer usage rather than providing explicit context or exclusions.

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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