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

devutils_csv_to_json

Convert CSV to a JSON array. $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: POST https://exchangerebel.com/toll/devutils/csv/to-json.

Input Schema

NameRequiredDescriptionDefault
textNostring

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The description adds meaningful behavior beyond annotations: exact cost, the x402 USDC-on-Solana payment mechanism, the PaymentRequired challenge/retry loop, and an HTTP equivalent endpoint. Annotations only say readOnly=false and destructive=false, so this pricing and payment-flow disclosure is real value. It stops short of describing error responses or output shape beyond 'JSON array'.

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?

The purpose is front-loaded, and the payment information follows in a compact, dense second sentence. It's efficiently packed with no filler, though the payment syntax is slightly dense for an agent parsing quickly.

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

Completeness4/5

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

For a one-parameter conversion tool with no output schema, the description covers purpose, output type (JSON array), cost, payment flow, and HTTP fallback. The only missing piece is how the 'text' input should be formatted, which the schema mostly covers.

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 single 'text' parameter is already documented structurally. The description adds no detail on the parameter itself — e.g., whether it accepts multiline CSV, delimiters, or file paths — so the baseline of 3 applies.

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 first sentence names the exact verb and resource ('Convert CSV to a JSON array') and is unambiguous. An agent can distinguish it from sibling devutils_json_format and devutils_json_validate purely from this sentence.

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 gives operational invocation guidance (payment flow and HTTP equivalent) but never says when to prefer this over sibling tools like devutils_json_format or devutils_json_validate. The intended use case — turn CSV text into JSON — 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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