Skip to main content
Glama

Generate Standard Voice

generate_standard_voice

Convert text to low-cost WAV speech using standard voices in 31 languages. Ideal for narration, status updates, alerts, and short responses.

Instructions

Generate low-cost WAV speech from text using one of 10 standard voices across 31 languages. Best for simple agent narration, status updates, alerts, and short spoken responses. Costs $0.001 for 1-500 chars or $0.003 for 501-2000 chars.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage code, default en
textYesText to synthesize, max 2000 characters
voiceNoStandard voice: M1-M5 or F1-F5
Behavior3/5

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

Discloses cost structure, which is a behavioral trait. With no annotations, the description provides minimal additional behavioral info (e.g., no latency, synchronicity, or idempotency details).

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 sentences: front-loaded with purpose, then usage advice and cost. No fluff, every sentence 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?

Given no output schema, the description covers purpose, usage, cost, and constraints. It mentions output format (WAV) but lacks details on audio properties or handling of errors. Adequate for a simple tool.

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 coverage is 100% with clear descriptions for each parameter. The description adds context about count of voices and languages, but does not significantly augment parameter semantics beyond what the schema already provides.

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?

Clearly states the tool generates low-cost WAV speech from text using standard voices across languages. However, it does not explicitly differentiate from sibling tools like generate_batch_voices or generate_controlled_voice.

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?

Provides usage context for simple narration, alerts, etc., and mentions cost tiers. But lacks when-not-to-use or alternatives, leaving the agent to infer based on context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/forgemeshlabs/voice-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server