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CryptoAPIs-io

@cryptoapis-io/mcp-aml

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system_info

Get instant reference information for Crypto APIs AML: supported blockchains, error codes, credit structure, webhook mechanics, and rate limiting.

Instructions

CryptoAPIs reference documentation — no API call, no credits consumed.

Actions: • blockchains — Supported blockchains, networks, products per chain, denominations, fiat currencies • errors — Complete error code table (HTTP status, error code, message) • credits — Credit charging structure, cost multipliers per blockchain, monitoring & operations taxes (xPub, synced addresses, blockchain events), pay-as-you-go • callbacks — Webhook mechanics: URL requirements, retry strategy (5 retries, exponential backoff), HMAC security, idempotency • limits — Throughput soft/hard limits per plan, 2.1x penalty multiplier, rate limiting behavior

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesReference topic to retrieve
contextNoOptional context for the request - echoed back in response
Behavior5/5

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

With no annotations, the description carries the full burden and explicitly notes 'no API call, no credits consumed,' which is key behavioral information. It also discloses detailed content such as retry strategy, HMAC security, and rate-limit penalty multipliers, going well beyond a generic 'returns info' statement.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the critical 'no API call, no credits consumed' caveat and uses a compact bullet list. Each bullet covers a distinct action without wasted prose, making it highly scannable for an agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a reference-documentation tool with no output schema and no annotations, this description is complete enough: it defines all five actions and gives sufficient detail about their content. It also clarifies side effects (none) and cost implications (none), covering the main contextual risks.

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

Parameters5/5

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

Although schema coverage is 100%, the description adds significant meaning by explaining each allowed action enum value in detail (e.g., callbacks covers URL requirements, 5 retries, HMAC). This transforms enum names into actionable context and compensates fully beyond the schema's short parameter descriptions.

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 states this is CryptoAPIs reference documentation with no API call or credits consumed, and enumerates five specific topics (blockchains, errors, credits, callbacks, limits). This clearly identifies it as an informational tool distinct from domain siblings like aml.

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?

The bulleted actions give clear contexts for when to use the tool, such as looking up error codes, credit structures, callback mechanics, or rate limits. It does not explicitly name alternatives or exclusion conditions, so it stops short of a full when/when-not specification.

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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