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Sats4AI - Bitcoin-Powered AI Tools

send_sms

Destructive

Reach a human via SMS when your task requires real-world coordination. Send to any phone number worldwide — messages delivered in seconds. No phone plan, no SIM card, no telecom account needed. Pay with Bitcoin Lightning — no API key, no KYC, no subscription. Requires create_payment with toolName='send_sms' and phoneNumber+message at payment time. The phoneNumber and message must match those used in create_payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesMessage text (max 1544 chars — short disclaimer auto-appended; billed per SMS segment)
paymentIdYesValid payment ID (must be paid)
phoneNumberYesPhone number in E.164 format (e.g., +14155550100). NOTE: non-+1 (international) numbers are delivered from an alphanumeric sender ID, so the recipient CANNOT reply — one-way only; for some countries (e.g. FR/CZ/CN) it is the only delivery path. No error is returned.

TDQS

A4.6/5.0
Behavior5/5

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

The description goes beyond the annotations (openWorldHint, destructiveHint) by disclosing delivery speed, lack of telecom requirements, and the payment flow via Bitcoin Lightning. It also adds the critical matching constraint between create_payment and send_sms. The schema further notes international one-way behavior, but the description still adds substantial 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 three sentences, front-loaded with the main purpose, followed by key features and the payment dependency. Every sentence adds essential information without unnecessary elaboration or repetition of schema details.

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?

The description covers purpose, prerequisites, payment method, and global reach. With no output schema, it would be helpful to state what the agent receives after sending (e.g., confirmation ID), but the detailed schema notes for phoneNumber mitigate this gap. Overall, it is sufficiently complete for an SMS-sending tool.

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

Parameters4/5

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

The input schema already describes all three parameters in detail (100% coverage). The description adds value by emphasizing that phoneNumber and message must match those used in create_payment, which is not stated in the schema. This extra nuance justifies above-baseline score.

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: to reach a human via SMS for real-world coordination. It uses specific verbs ('send', 'reach') and distinguishes from sibling tools like send_email and send_fax by focusing on SMS and global reach.

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?

Provides clear context for when to use ('when your task requires real-world coordination') and explains the prerequisite of creating a payment via create_payment. However, it does not explicitly mention alternatives or when not to use it, so it falls short of a 5.

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.