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BlockRunAI

BlockRun MCP

Official
by BlockRunAI

blockrun_speech

Convert text to speech using ElevenLabs voices, generate cinematic sound effects from prompts, or list available voices. Each call returns a hosted audio URL.

Instructions

ElevenLabs voice via BlockRun x402 — speak text aloud, generate sound effects, list voices.

Actions:

  • speak (default): text-to-speech. E.g. "speak this with the sarah voice". Price = chars/1000 × rate (min $0.001), quoted before payment.

  • sound_effect: cinematic sound effects from a text prompt, up to 22s ($0.0525/clip)

  • voices: list available voices (free)

Models (speak): elevenlabs/flash-v2.5 ($0.05/1k chars, ~75ms, default), elevenlabs/turbo-v2.5 ($0.05/1k), elevenlabs/multilingual-v2 ($0.10/1k, narration), elevenlabs/v3 ($0.10/1k, most expressive)

Voice aliases: sarah (default), george, laura, charlie, river, roger, callum, harry — or any raw ElevenLabs voice_id.

Returns a hosted audio URL — download immediately if you need to keep the file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNospeak: text to synthesize. sound_effect: description of the sound, e.g. 'rain on a tin roof, distant thunder' (max 1000 chars).
modelNoSpeech model (speak only)elevenlabs/flash-v2.5
speedNoPlayback speed 0.7-1.2 (speak only)
voiceNoVoice alias (sarah, george, laura, charlie, river, roger, callum, harry) or raw ElevenLabs voice_id. Default: sarah.
actionNospeak: text-to-speech (default). sound_effect: generate a sound effect. voices: list voices (free).speak
agent_idNoAgent identifier for budget tracking and enforcement.
response_formatNoAudio formatmp3
duration_secondsNoSound effect length in seconds (sound_effect only; default: auto)
prompt_influenceNoHow literally to follow the prompt, 0-1 (sound_effect only)
Behavior5/5

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

The description discloses pricing per model, voice aliases, return format (hosted audio URL), and prompt to download immediately. This goes well beyond the basic annotations (which only set false flags), providing comprehensive behavioral context.

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?

The description is well-structured with sections for actions, models, voice aliases, and return behavior. It is front-loaded with the main purpose and examples, making it easy to parse without unnecessary verbosity.

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

Completeness5/5

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

With 9 parameters and no output schema, the description covers all actions, models, pricing, voice aliases, and return format. It provides complete context for an AI agent to select and invoke the tool correctly.

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

Parameters5/5

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

Despite 100% schema coverage, the description adds significant meaning: explains actions, default voice, model characteristics, and gives usage examples. It enriches each parameter beyond the schema's descriptions.

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 the tool's purpose: ElevenLabs voice via BlockRun for text-to-speech, sound effects, and listing voices. It distinguishes from sibling tools like blockrun_image or blockrun_music by being specifically about speech/audio.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear guidance on when to use each action (speak, sound_effect, voices) with examples and pricing context. However, it does not explicitly mention when not to use this tool or alternatives, but the context is sufficient for an AI agent.

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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