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

atlas_changes

Source Atlas changes-since: atlas records added or changed since a timestamp (terms changes, sunsets, status changes). $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: POST https://exchangerebel.com/toll/atlas/changes.

Input Schema

NameRequiredDescriptionDefault
sinceYesISO date (YYYY-MM-DD) or ISO datetime; only records with updated_at strictly after it are returned

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?

With annotations present the bar is lower, and the description goes beyond them by disclosing cost ($0.01 per call), the payment rail (USDC on Solana via x402), and the concrete challenge-and-retry protocol including the _meta["x402/payment"] key. That is exactly the kind of prerequisite/operational context annotations cannot express; only the response shape is left uncovered.

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?

Purpose is front-loaded in the first clause, followed by the payment mechanics and the HTTP equivalent, which are both actionable. The payment sentence is dense but every clause carries operational information; nothing is redundant.

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 tool with no output schema, the description covers purpose, cost, payment flow, and an alternate transport. The one gap is that it never says what a response looks like (record fields, ordering, volume/caps), which matters for a paid call with no declared output schema.

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 'since' parameter is fully documented in the schema, including the strict-greater-than semantics. The description only restates 'since a timestamp' and adds no syntax or edge-case detail beyond the schema, so baseline 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 description names a specific verb and resource ('atlas records added or changed since a timestamp') and enumerates the change classes it covers (terms changes, sunsets, status changes). This clearly distinguishes it from siblings like atlas_record (single-record lookup) without the agent needing to open the schema.

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 change-feed framing implies the polling/refresh use case, but there is no explicit when-to-use versus when-not guidance and no named alternative (e.g., use atlas_record for a single record, atlas_route for lookups). Usage is inferable but not stated.

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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