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Suprsonic

tts

Convert text to speech audio. Cost: 2 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert (max 2000 chars).
providerNoTTS provider.auto
voice_modelNoDeepgram voice model ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the credit cost ('Cost: 2 credits'), but does not describe the return format, authentication needs, rate limits, or whether the audio is returned inline or as a link. This is a minimum viable disclosure with clear gaps.

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 short, front-loaded sentences with zero waste. The core action comes first, followed by the cost, making it easy for an agent to scan and act on.

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?

For a low-complexity conversion tool with 100% schema coverage, the description covers the purpose and cost. However, with no output schema and no annotations, it leaves return behavior and usage context unstated. Adequate but incomplete.

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 100%, so the schema already documents text, provider, and voice_model with descriptions and an enum. The description adds no additional parameter meaning beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb and resource: 'Convert text to speech audio.' It is immediately clear that this is a TTS tool and not its sibling stt (speech-to-text), although it does not explicitly name or exclude any alternatives. Clear, but no sibling differentiation.

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?

The description gives no when-to-use guidance, prerequisites, or alternatives. It does not mention when to choose tts over sound-generate or other audio siblings, nor when not to use it. Usage is only implied by the tool name.

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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