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

tokens_score

0-100 token safety score with explainable factors. $0.02 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/tokens/score/{mint}.

Input Schema

NameRequiredDescriptionDefault
mintYesSolana mint address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Adds substantial context beyond the annotations: an explicit $0.02 per-call cost, the USDC-on-Solana x402 payment handshake, and an equivalent HTTP endpoint. It does not explain why readOnlyHint=false for what reads as a lookup (presumably metering/settlement), leaving a small ambiguity, but nothing contradicts the annotations.

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?

Two sentences, front-loaded with what the tool returns and then the payment mechanics. Every clause (price, protocol, fallback path) is operationally necessary for a paid endpoint.

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?

With no output schema, the description still sketches the return value (0-100 score with explainable factors) and fully specifies the billing/invocation path, so an agent can call it correctly. A short note on what the explainable factors contain would close the last gap.

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?

Only one parameter, fully documented by the schema as a 'Solana mint address'; the description's HTTP path template ({mint}) restates rather than extends that. With 100% schema coverage, the schema carries the parameter burden, so baseline 3 applies.

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 output form: a 0-100 token safety score with explainable factors, for a given Solana mint. The score framing distinguishes it from the sibling lookup tool tokens_token, though it never explicitly draws that contrast.

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 clear procedural guidance for how to pay and invoke (challenge, then retry with _meta["x402/payment"]), but gives no guidance on when to choose this over tokens_token, batch_score, or other scoring siblings, and no 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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