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

power_scan

Ranked ERCOT multi-hub power-flag scan. $0.05 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/power/scan.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior4/5

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

With annotations declaring readOnlyHint=false, openWorldHint=true, and idempotentHint=false, the description adds genuinely useful context the annotations cannot: the exact price ($0.05/call), the USDC-on-Solana x402 payment rail, the concrete retry protocol via _meta["x402/payment"], and an HTTP equivalent endpoint. What is missing is whether the paid call is billed on the challenge attempt, and what happens if payment fails mid-scan.

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 sentences, front-loaded with what the tool is, then the payment mechanics. The x402 retry instruction is dense but every clause is actionable; the HTTP URL is arguably redundant for an MCP-only agent but is cheap.

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, billing amount and transport are fully covered, and there is no output schema to explain. However, nothing is said about what the ranked scan actually returns — which hubs, what a flag is, how many results, how fresh the data is — which is exactly what an agent needs to decide whether the result will answer its question.

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

Parameters4/5

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

The tool takes zero parameters, so schema semantics are a non-issue and the baseline is 4. The description spends no words redundantly describing inputs, which is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase 'Ranked ERCOT multi-hub power-flag scan' names a domain (ERCOT power), a resource (multi-hub) and a verb (scan), which is more than a tautology. But it never says what a 'power flag' is or what is being ranked, and it does not distinguish itself from the four sibling power_flags_* tools (battery, congestion, dart, negative), which plausibly overlap.

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?

There is no statement of when to call this versus power_flags_congestion or power_flags_negative, nor any precondition about market hours or hub availability. The only procedural guidance given is the payment handshake, which is invocation mechanics rather than use-case selection.

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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