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send_to_lightning_address

Send Bitcoin payments to Lightning addresses using the LNURL-pay protocol. Specify recipient address and amount in satoshis to process transactions.

Instructions

Send sats to a Lightning address (user@domain.com) using LNURL-pay protocol

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesLightning address (e.g. user@domain.com)
amount_satsYesAmount in satoshis to send
agentNoAgent wallet name or ID (for spending policy enforcement)
commentNoOptional comment for the recipient
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the protocol (LNURL-pay), it doesn't describe important behavioral aspects like whether this is a final payment (irreversible), what happens on failure, authentication requirements, rate limits, or what the response contains. For a payment tool with zero annotation coverage, this leaves significant 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?

The description is a single, efficient sentence that conveys the essential information without any wasted words. It's appropriately sized for the tool's complexity and gets straight to the point.

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

Completeness2/5

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

For a payment tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what happens after sending (success/failure response format), whether payments are reversible, authentication requirements, or error conditions. Given the tool's financial nature and lack of structured behavioral information, more context is needed.

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 all four parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema descriptions. This meets the baseline expectation when schema coverage is complete.

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 specific action ('Send sats'), target resource ('to a Lightning address'), and protocol used ('using LNURL-pay protocol'). It distinguishes from sibling tools like 'pay_lightning_invoice' by specifying the Lightning address format rather than invoice-based payments.

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

Usage Guidelines3/5

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

The description implies usage context by mentioning Lightning addresses and LNURL-pay protocol, suggesting this is for sending payments via that specific method. However, it doesn't explicitly state when to use this versus alternatives like 'pay_lightning_invoice' or provide any exclusion criteria.

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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