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

news_trending

Trending stories (GDELT). $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/news/trending.

Input Schema

NameRequiredDescriptionDefault
daysNoLookback days
limitNoResult limit

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Goes well past the annotations by disclosing the per-call price ($0.005), the payment handshake (call, receive PaymentRequired, retry with payment metadata), and the underlying HTTP endpoint. The only gap is that it does not describe the response shape or default behaviour, and there is mild tension between the stated HTTP GET and readOnlyHint=false, though that is plausibly explained by the payment side effect.

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?

Front-loads what the tool is in four words, then the cost and payment steps in a single compact parenthetical, then the HTTP equivalent. Dense but every clause carries information; the payment parenthetical is long but operationally necessary.

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 and two optional parameters, the description leaves the agent guessing what a 'trending story' record contains and what the defaults are when days/limit are omitted. Coverage of cost and auth is strong, but return-value context is absent.

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 description coverage is 100% for both parameters, so the schema already carries the burden, and the description adds no clarity on units, defaults, or ranges for 'days' and 'limit'. 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 mode (trending stories from GDELT) in the opening fragment, which is enough to distinguish it from news_search and news_timeline. It stops short of explicitly contrasting itself with the GDELT cluster siblings, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The body is entirely about payment mechanics (x402, USDC on Solana, retry with _meta["x402/payment"]) and says nothing about when an agent should pick this over news_search, news_timeline, or gdelt_news_clusters. There are no exclusions or selection criteria, only invocation protocol.

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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