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nad33mahm3d

mcp-crypto-toolkit

by nad33mahm3d

convert

Exchange crypto amounts into fiat or crypto, using Binance P2P for optimized PKR rates when requested.

Instructions

Convert crypto amount to fiat/crypto. Optimized PKR via Binance P2P when requested.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesusd, eur, pkr, btc, eth, etc
fromYes
amountYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals one behavioral trait—PKR conversions may be optimized via Binance P2P—but does not explain rate sources, whether live data is fetched, how output is formatted, or whether any side effects occur. This is insufficient for an agent to predict the tool's runtime behavior accurately.

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?

The description is concise and front-loaded with the core action, followed by a brief optimization note. Every sentence carries some information, and there is no redundant filler. However, the second sentence is somewhat cryptic and could have been clearer, which slightly reduces its structural effectiveness.

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

Completeness2/5

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

Given the absence of an output schema and sparse parameter documentation, the description does not provide enough context for correct invocation. It omits the return format, the meaning of 'optimized', how rates are determined, and any constraints on the 'from' or 'to' values. An agent would need to make assumptions or query additional tools to use it reliably.

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

Parameters2/5

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

Schema description coverage is only 33%, so the description must compensate for the undocumented 'from' and 'amount' parameters. It adds some context by implying the input amount is a crypto amount and 'from' is likely a cryptocurrency, but it does not clarify accepted formats, units, or the exact meaning of the 'to' values beyond the schema's short list. The PKR optimization adds slight meaning to 'to' but remains underspecified.

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 states a clear action—'Convert crypto amount to fiat/crypto'—with a specific resource (crypto amount) and a notable optimization ('Optimized PKR via Binance P2P'). It distinguishes itself from siblings like get_price or compare_coins, though it does not fully elaborate on whether fiat-to-crypto or crypto-to-crypto conversions are also supported. Overall, it is specific enough to avoid being a tautology.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as get_price or portfolio_value. It only hints at a special PKR path via Binance P2P, but never states the conditions that trigger this optimization or when a user should prefer this tool over another. The agent is left to infer use cases from the name and short description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.