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Stablecoin rails, corridors and payment provider data

search_providers

Which payment or stablecoin providers support this asset, chain, country or service? Free: search payment and stablecoin providers by category, asset, chain, ramp country or service. Returns compact cards (no citations); use get_provider for the full cited record. 50 calls/day per client.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoName search, e.g. 'bridge'
assetNoStablecoin ticker, e.g. USDC, EURC, USDT, PYUSD
chainNoChain, e.g. base, ethereum, solana, tron, polygon
countryNoISO 3166-1 alpha-2 country for on/off-ramp coverage, e.g. MX
serviceNoissuance, mint_redeem, on_ramp, off_ramp, payouts, acceptance, settlement, custody, wallets, orchestration, fx, cards
categoryNocard_acquiring, orchestration, merchant_of_record, payouts, fx, baas_issuing, open_banking, stablecoin_issuer, stablecoin_infra, onoff_ramp, custody_wallets, agentic_payments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it declares cost ("Free"), the rate limit ("50 calls/day per client"), and the return shape ("compact cards (no citations)"). It does not state pagination/result-count limits or that empty filters return a broad listing, so it is strong but not exhaustive for a zero-annotation tool.

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 question followed by tightly packed clauses covering scope, cost, return format, alternative tool, and rate limit in four sentences. Dense but every clause carries information; only the slight redundancy between the question and the second sentence costs a point.

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 six-parameter, fully-documented, filter-only search tool with no output schema and no annotations, the description supplies cost, rate limit, result format, and the escalation path to get_provider. What is missing is minor: no note on result count/pagination or behavior when all optional filters are omitted.

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%, so the schema already documents all six parameters with format examples. The description mostly restates those facets, adding only the mild nuance that country means on/off-ramp coverage; baseline 3 is appropriate when the schema does 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?

Opens with a concrete question that names the resource (payment/stablecoin providers) and the exact facets searched (asset, chain, country, service/category). It also explicitly distinguishes itself from the sibling get_provider, so an agent can separate the two without opening either schema.

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?

"use get_provider for the full cited record" names the alternative and the condition that selects it, and the leading question frames the intended query context. No explicit when-not guidance (e.g., do not use for name-only or non-provider lookups) is given, so it stops short of a 5.

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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