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Sats4AI - Bitcoin-Powered AI Tools

place_call

Destructive

Bridge the digital-physical gap — place an automated phone call to deliver a spoken message or play audio to any number. Useful when your task requires notifying a human, delivering alerts, or reaching someone who isn't online. Pay with Bitcoin Lightning — no telecom account, no KYC, no subscription. Requires create_payment with toolName='place_call' and phoneNumber.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoText to speak via TTS (max 500 chars). Provide this OR audioUrl.
audioUrlNoPublic URL to audio file. Provide this OR message.
paymentIdYesValid payment ID (must be paid)
phoneNumberYesPhone number in E.164 format (e.g., +14155550100)
durationMinutesNoDuration in minutes (1-30). Required for audioUrl.

TDQS

A3.9/5.0
Behavior3/5

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

Annotations mark destructiveHint true, but the description adds context about Bitcoin Lightning payment and no telecom account. It does not fully explain the destructive nature (e.g., cost incurred, irreversibility). No contradiction with annotations.

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 concise (3 sentences), front-loads the core purpose, and includes all necessary context without extra words. Every sentence adds value.

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?

The tool has 5 parameters and no output schema. The description covers the basic operation and prerequisites but does not explain what happens on completion, error cases, or whether it is synchronous/asynchronous. More detail would be beneficial given the lack of output schema.

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 descriptions. The description adds minimal extra meaning beyond the schema, such as the mutual exclusivity of 'message' and 'audioUrl' and the requirement for 'durationMinutes' with audioUrl. Baseline 3 is appropriate.

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: 'place an automated phone call to deliver a spoken message or play audio to any number.' It uses a specific verb ('place'), resource ('phone call'), and distinguishes from sibling tools like 'send_sms' or 'ai_call'.

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 explains when to use the tool: 'notifying a human, delivering alerts, or reaching someone who isn't online.' It also mentions the prerequisite of using 'create_payment' with specific parameters. However, it does not explicitly exclude alternative tools or provide when-not-to-use guidance.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap, especially among call tools (ai_call, place_call, open_voice_bridge) and image generation/editing tools (generate_image, edit_image, animate_image). Descriptions help differentiate, but an agent might still select the wrong one.

Naming Consistency4/5

The vast majority of tools follow a verb_noun pattern (e.g., generate_image, send_sms). A few exceptions exist (await_result, check_job_status, epub_to_audiobook) but the overall pattern is strong and predictable.

Tool Count3/5

With 50 tools, the server is very extensive. While each tool earns its place given the broad scope of AI services, the count feels high and could overwhelm agents, making selection less efficient.

Completeness5/5

The tool surface is remarkably comprehensive, covering generation, editing, conversion, communication, async management, payments, and error handling. There are no obvious gaps for the stated Bitcoin-powered AI toolkit purpose.