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Anam MCP Server

Anam MCP Server

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by anam-org
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Python
Remote

create_voice

Configure a custom voice for AI personas by specifying provider, voice ID, gender, and country. Enables personalized voice integration.

Instructions

Create a custom voice configuration.

Args: display_name: Display name for the voice provider: Voice provider (e.g., "cartesia", "elevenlabs") provider_voice_id: The voice ID from the provider gender: Gender of the voice ("MALE" or "FEMALE") country: Country code (e.g., "US", "GB") description: Optional description

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "display_name": "<display_name>",
      "provider": "<provider>",
      "provider_voice_id": "<provider_voice_id>"
    },
    "name": "create_voice"
  }
}

Input Schema

NameRequiredDescriptionDefault
display_nameYes
providerYes
provider_voice_idYes
genderNo
countryNo
descriptionNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.13

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden. It only states the action and lists parameters, but does not disclose behavioral traits such as permissions needed, whether it overwrites existing voices, what happens on duplicate provider_voice_id, or what the response contains (despite an output schema existing).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the main action. The 'Args:' formatting is a Python convention that may add unnecessary structure for an MCP description, but it remains clear and efficient. Every sentence contributes value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, low schema coverage, and the presence of an output schema (which is not explained), the description covers the basic action and parameters but lacks return value description, behavior on duplicates, and when to use other voice-related siblings. It is minimally complete for a simple creation tool but leaves gaps.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It provides brief explanations for each parameter (e.g., 'Display name for the voice', 'Voice provider (e.g., "cartesia", "elevenlabs")'), adding meaning beyond the schema's titles. However, it lacks format constraints or allowed values beyond the examples, making it adequate but not detailed.

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 'Create a custom voice configuration' with a specific verb ('Create') and resource ('voice configuration'). It distinguishes itself from sibling tools like 'update_voice', 'delete_voice', and 'search_voices' by the action word.

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 (when you need to create a new voice) but provides no explicit guidance on when to use this tool versus alternatives (e.g., update_voice for modifications, search_voices for retrieval). No exclusions or prerequisites are mentioned.

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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