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

gdelt_news_crypto_preflight

Read-onlyIdempotent

FREE preflight for gdelt_news_crypto. Counts only: articles_in_window, crypto_matched_count, per_asset_counts, per_topic_counts, servable/reason_class, and the $0.01 toll quote. No titles, URLs, or tag assignments are returned. — no payment required: call directly without payment (no x402 challenge; this tool is free). HTTP equivalent: GET https://exchangerebel.com/toll/news/crypto/preflight.

Input Schema

NameRequiredDescriptionDefault
daysNo
langNo
assetNo
limitNo
topicNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), yet the description still adds real value: free vs. $0.01 toll, no x402 challenge, exact return-field set, and the HTTP endpoint. Only gap is that it doesn't say whether the $0.01 quote applies to the subsequent paid call or this one, or note any 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?

Front-loaded and dense: purpose, returned fields, exclusions, and payment model in a few clauses. Minor redundancy — 'FREE' at the start is restated by 'no payment required: call directly without payment (no x402 challenge; this tool is free)'.

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, the field enumeration is a genuine asset and the payment model is fully covered. But for a 5-parameter filtering tool with zero schema documentation, the absence of any parameter guidance leaves an agent guessing how to shape requests correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so all five parameters (days, lang, asset, topic, limit) depend on the description for meaning — yet none are explained. The mention of per_asset_counts and per_topic_counts faintly hints that asset/topic are filters, but the 1-31 day window, lang format, and limit semantics are left entirely undocumented.

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 and resource — a free preflight for gdelt_news_crypto that counts articles — and enumerates exactly which fields come back. The 'Counts only ... No titles, URLs, or tag assignments' contrast cleanly separates it from the paid sibling that presumably returns those fields.

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

Usage Guidelines4/5

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

It implicitly positions itself as the step before gdelt_news_crypto and makes the no-payment path explicit ('call directly without payment; no x402 challenge'). It never says outright 'use this first, then call gdelt_news_crypto to get titles/URLs', so the workflow is inferred rather than spelled out.

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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