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haveno_payment_methods

Read-onlyIdempotent

Executed Haveno trades grouped by payment method, with the premium over spot.

window in 30d,90d,180d,1y,all. currency in USD,EUR. The premium tracks how reversible and convenient the payment rail is, not privacy: every one of these trades is equally non-KYC. The reversible flag is our own classification, not a Haveno field.

Input Schema

NameRequiredDescriptionDefault
windowNoTime window, one of 30d, 90d, 180d, 1y, all. Example: 180d180d
currencyNoFiat currency of the trades, USD or EUR. Example: USDUSD

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / currency / description
      Added value: +"Fiat currency of the trades, USD or EUR. Example: USD"
    • addedInput schema / properties / window / description
      Added value: +"Time window, one of 30d, 90d, 180d, 1y, all. Example: 180d"
  2. Added

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already establish read-only, idempotent, non-destructive, open-world behavior, so the bar is lower. The description usefully discloses that the 'reversible' flag is a derived classification rather than a Haveno field and that results are aggregated per payment method, but it omits whether small-sample methods are filtered or what the aggregation period grain is.

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

Conciseness3/5

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

The purpose is front-loaded and the interpretive note is valuable, but enumerating window and currency values duplicates the schema verbatim and the mid-sentence line break makes the text read awkwardly. Some sentences could be trimmed without loss.

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?

With no output schema and a derived-analytics tool, the description supplies the essential context an agent needs: what the premium represents and that reversibility is a local classification. Only the shape of the returned rows (per-method fields, sample sizes) is left unexplained, which is a modest gap.

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 both parameters are described with defaults and examples, so the schema does the heavy lifting. The description merely restates the allowed values ('30d,90d,180d,1y,all' and 'USD,EUR') without adding meaning, keeping this at the baseline.

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

Purpose4/5

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

The description opens with a specific verb-and-resource statement: executed Haveno trades grouped by payment method with the premium over spot. It is clearly distinct from haveno_book (order book) and haveno_premium (presumably aggregate premium), though it never names those siblings explicitly.

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 guidance on when to choose this over haveno_premium or haveno_book, nor any stated exclusions or preconditions. The interpretive notes (premium reflects rail reversibility, not privacy) help read the output but do not route an agent between tools.

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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