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hardoz x402 tools

tts

Text to speech: text in, audio URL out. Price: $0.008 USDC on Base via x402.

Input Schema

NameRequiredDescriptionDefault
payloadNo{}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does add real value by disclosing the payment model ($0.008 USDC on Base via x402), which is critical for an agent deciding whether it can even call the tool. However, it says nothing about input length limits, voice/language options, latency, or failure modes.

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 sentences, front-loaded with the capability and followed by the return value and cost. Every clause carries information an agent needs; there is no filler.

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?

There is no output schema, and the description compensates reasonably by stating the return is an audio URL. But the opaque payload parameter combined with zero annotations means an agent still lacks the call format and any operational constraints, leaving the definition thin for a tool with a payment side effect.

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?

The single parameter is named "payload," typed as a string, defaulting to "{}", with 0% schema coverage. The description's "text in" hints that the text lives inside payload but never explains the format — raw text versus a JSON string with fields like text/voice. An agent would have to guess the encoding, which is a significant gap for a 0%-coverage schema.

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?

States a specific transformation ("Text to speech") with explicit input and output ("text in, audio URL out"), which distinguishes it from reverse-direction siblings like transcribe and from text-transform siblings like rewrite or summarize. It stops short of naming an alternative, so it doesn't earn a 5.

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?

There is no when-to-use guidance, no mention of when to prefer dub or transcribe instead, and no prerequisites stated. The only contextual signal is pricing, which tells an agent nothing about tool selection. Usage is inferable only from the 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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