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

devutils_fx_convert

Fiat currency conversion (ECB rates via Frankfurter). $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/devutils/fx/convert.

Input Schema

NameRequiredDescriptionDefault
toYesTo currency
fromYesFrom currency
amountYesAmount

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?

Annotations mark this non-read-only, open-world and non-idempotent, and the description explains why: each call costs $0.005 USDC on Solana and requires a two-step payment handshake. That is real added context beyond the annotations, plus an HTTP fallback URL. It stops short of describing failure/refund behavior or rate limits.

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 and payment mechanics in a single parenthetical. It is dense but every element is load-bearing for a pay-per-call tool; only the HTTP URL is arguably expendable.

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?

Payment and sourcing are well covered, but with no output schema the description should say what a conversion returns (converted amount, rate used, rate date) so an agent can plan the follow-up. That return-shape gap leaves it only adequate for a 3-parameter conversion tool.

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 the three parameters are already documented by the schema, which sets the baseline at 3. The description adds nothing about currency code format (ISO 4217) or why amount is a string, so it does not exceed that baseline.

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 names a specific verb and resource — fiat currency conversion — and discloses the data source (ECB rates via Frankfurter). An agent can distinguish it from most siblings, though it never explicitly contrasts with devutils_fx_rates, the closest alternative, so differentiation is left implicit.

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?

It gives procedural guidance for invocation (call without payment to receive the PaymentRequired challenge, then retry with payment at _meta["x402/payment"]), which is genuinely useful. However, it never states when to choose this over devutils_fx_rates or what inputs are valid, so the when-to-use layer is only implied.

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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