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

short_short

Fetch FINRA short interest for a ticker. $0.01 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/short/short/{ticker}.

Input Schema

NameRequiredDescriptionDefault
tickerYesUS ticker symbol

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing the paid, non-free nature of the call, the exact price ($0.01 USDC on Solana), the x402 challenge-then-retry handshake, and the HTTP fallback endpoint. That is exactly the behavioral context an agent needs to invoke a paid tool without a failed or unexpected charge.

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?

Two front-loaded sentences with the purpose first and the payment mechanics second; every clause carries information. The long parenthetical is dense but justified given the unusual x402 protocol.

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 transport details are thoroughly covered, but with no output schema, the description never indicates what the response contains (fields, short-interest period, freshness), and it says nothing about error/billing behavior on failed calls.

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 single required parameter is already documented as 'US ticker symbol'; the description only restates {ticker} in the URL template. Baseline 3 is appropriate since the schema does all the heavy lifting.

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?

States a specific verb ('Fetch') and resource ('FINRA short interest') with a clear scope ('for a ticker'), and no sibling tool covers short interest, so the agent can disambiguate immediately.

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?

Explains the payment flow (call without payment, receive the challenge, retry with payment at _meta["x402/payment"]), which is invocation guidance. However, it provides no when-to-use vs when-not guidance relative to alternatives such as screener_quote or sec_fundamentals, so usage context 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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