listTTSProviders
Retrieve all Text-to-Speech providers to compare and choose a voice generation service.
Instructions
Retrieve all Text-to-Speech providers. (Tags: Providers)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all Text-to-Speech providers to compare and choose a voice generation service.
Retrieve all Text-to-Speech providers. (Tags: Providers)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, and the description adds the 'all' scope. However, it does not disclose possible behavioral traits like pagination, response shape, or whether only active providers are returned. No contradiction exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that states the purpose clearly. The 'Tags: Providers' suffix is minor and does not detract from conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only list tool with strong annotations and no output schema, the description sufficiently conveys what is retrieved. No critical information is missing for basic selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With zero parameters and 100% schema coverage, the description has no additional parameter semantics to convey. The baseline of 4 is appropriate for a parameterless tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Retrieve') and a clear resource ('all Text-to-Speech providers'). It distinguishes from sibling tools like listLLMProviders and listSTTProviders by explicitly naming the TTS domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when TTS providers are needed, but it provides no explicit when-to-use guidance or alternatives. It does not mention that listAllProviders exists for a combined provider view, so differentiation is only implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Omnidim/omnidim-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server