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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

books_author

Author metadata by Open Library author id. $0.005 per call — USDC on Solana via x402 (over MCP: call without payment to get the PaymentRequired challenge, then retry with the payment at _meta["x402/payment"]). HTTP equivalent: GET https://exchangerebel.com/toll/books/author/{id}.

Input Schema

NameRequiredDescriptionDefault
idYesAuthor id (OL...A)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations cover openness and idempotency but say nothing about cost or authorization. The description adds material behavior an agent cannot get elsewhere: a $0.005 USDC-on-Solana charge, the x402 two-step challenge/retry flow, and the exact _meta["x402/payment"] key — which also explains why readOnlyHint is false for what is a metadata read.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads what the tool returns, then gives price and payment mechanics, then the HTTP equivalent. Dense but every clause is actionable; the payment-parenthetical is long yet load-bearing for calling it correctly.

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?

With no output schema, the description should say what 'author metadata' actually contains, but it does not (name, birth/death, bio, works, etc.). The payment path is fully covered, so the gap is limited to return-value expectations.

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% and the schema already documents the single 'id' parameter as an OL...A author id. The description only repeats the resource name and adds no format, normalization, or failure-mode detail beyond the schema.

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 states a specific verb+resource ('Author metadata') and the identifier scheme ('Open Library author id'), which is enough to distinguish it from books_works or books_isbn. It does not explicitly contrast with the closely named sibling books_authors, so the singular-by-id vs. list distinction must be inferred from the name.

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?

There is no statement of when to use this tool versus books_authors, books_search, or books_title. The only 'how' guidance is the payment choreography, which is operational rather than selection 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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