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ocbenji

@bitcoinbenji/mcp

ai_explain

Explain any topic at your chosen level of understanding, from basic to expert, with a pay-per-call Lightning payment.

Instructions

Explain any topic at the requested level. [25 sats per call]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
levelNobeginner
preimageNo(L402 mode) Preimage from paid Lightning invoice — only needed if no API key is set
macaroonNo(L402 mode) Macaroon from the previous 402 challenge
Behavior2/5

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

The only behavioral trait disclosed is the cost of 25 sats per call. No annotations are present, and the description omits information about rate limits, destructiveness, or other side effects.

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 extremely concise with one sentence and a cost note. Every word serves a purpose, and the main action is front-loaded.

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?

Despite no output schema and limited annotations, the description fails to explain the L402 mode parameters, level options, or expected response format. It is too minimal for a tool with four parameters.

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 description does not add meaning to the parameters 'topic' or 'level' beyond what the schema provides. The preimage and macaroon have descriptions in the schema, but the tool description itself offers no additional parameter context.

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?

The description clearly states the verb 'Explain' and resource 'any topic' with a modifier 'at the requested level'. It distinguishes from siblings like ai_summarize or ai_rewrite, which perform different actions.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not specify prerequisites, preferred use cases, or exclusions.

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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