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@vocea.app/mcp-server

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by vocea-admin

vocea_list_public_voices

Get a paginated list of public voices from the Vocea community, filterable by age range (young, adult, senior).

Instructions

List public community voices available for use.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
ageRangeNo

Implementation Reference

  • src/index.ts:60-71 (registration)
    Tool 'vocea_list_public_voices' is registered with input schema accepting page, limit, and ageRange parameters.
    {
      name: "vocea_list_public_voices",
      description: "List public community voices available for use.",
      inputSchema: {
        type: "object",
        properties: {
          page: { type: "number" },
          limit: { type: "number" },
          ageRange: { type: "string", enum: ["young", "adult", "senior"] },
        },
      },
    },
  • Handler for 'vocea_list_public_voices' that casts args and calls vocea.voices.listPublic(), returning JSON-stringified result.
    case "vocea_list_public_voices": {
      const a = args as { page?: number; limit?: number; ageRange?: "young" | "adult" | "senior" };
      const result = await vocea.voices.listPublic(a);
      return {
        content: [{ type: "text", text: JSON.stringify(result) }],
      };
    }
  • Input schema for vocea_list_public_voices: page (number), limit (number), ageRange (enum: young/adult/senior).
        type: "object",
        properties: {
          page: { type: "number" },
          limit: { type: "number" },
          ageRange: { type: "string", enum: ["young", "adult", "senior"] },
        },
      },
    },
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as pagination behavior, rate limits, or whether the list is sorted. It lacks transparency beyond the basic action.

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

Conciseness2/5

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

The description is extremely short (one sentence), but it is under-specified rather than appropriately concise. It omits necessary details that could be included without verbosity.

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

Completeness2/5

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

Given the lack of output schema and low schema coverage, the description is insufficient. It does not explain expected return format, defaults, or the effect of optional parameters, leaving the agent underinformed.

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

Parameters2/5

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

Schema description coverage is 0%, meaning the input schema has no descriptions. The tool description adds no meaning to parameters like 'page' or 'ageRange', relying solely on their names which may be ambiguous.

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 clearly states the verb (list) and resource (public community voices), giving a specific purpose. However, it does not distinguish from the sibling 'vocea_list_voices', which might list all voices including private ones.

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?

No guidance on when to use this tool versus alternatives like 'vocea_list_voices' or 'vocea_generate_audio'. No context on prerequisites 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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