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

books_title

Book metadata by title (Open Library). $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/title/{title}.

Input Schema

NameRequiredDescriptionDefault
limitNo1-25, default 5
titleYesBook title

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Strong operational disclosure beyond the annotations: exact price ($0.005/call), payment rail (USDC on Solana via x402), and the two-step challenge-then-retry protocol including the _meta["x402/payment"] key. This also explains why readOnlyHint=false despite a metadata read. Gaps remain on rate limits, failure modes other than PaymentRequired, and what a successful response contains.

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?

Purpose is front-loaded in the first clause, followed by pricing, payment mechanics, and the HTTP equivalent — each sentence carries distinct information. Slightly dense with protocol detail, but nothing is padding.

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 indicate what metadata comes back (works/editions/authors, etc.) and it does not, nor does it clarify the limit parameter. Payment and endpoint context are complete, so the omission is moderate rather than fatal.

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%, so both parameters are already documented in the schema. The description reinforces that lookup is keyed on title but says nothing about the 'limit' parameter or what it limits (results? editions?), leaving the schema to carry it.

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?

States a specific resource and access key: book metadata looked up by title, sourced from Open Library, with the HTTP route spelled out. The 'by title' qualifier implicitly separates it from books_isbn and books_author, but it never names those siblings explicitly, so differentiation is left to inference.

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?

Usage is only implied by the lookup key — an agent can infer 'use this when you have a title, not an ISBN'. There is no explicit when-to-use, when-not-to-use, or pointer to books_search/books_isbn as the alternative for other query shapes.

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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