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dwin-gharibi

ramzinex-mcp

by dwin-gharibi

ramzinex_allocate_address

Generate a new deposit address on a specified network for receiving cryptocurrency. Requires a network ID and optional currency ID.

Instructions

Allocate/generate a deposit address for the wallet — WARNING: wallet write.

Persian purpose: تخصیص آدرس به کیف پول کاربر. Requires configured credentials AND enable_withdrawals=true (and read_only=false) on the instance; otherwise it returns {"error": "withdrawals_disabled", ...} without contacting the API (creating a deposit address is a wallet-write action).

BEST-EFFORT PATH — confirm against the Ramzinex panel/Postman. The pasted Postman collection did not include the exact URL for this endpoint; this tool implements POST /exchange/api/{ver}/exchange/users/me/addresses/generate with body {network_id, currency_id?} as a documented assumption.

Args: network_id: Numeric id of the network to allocate an address on (must be > 0; discover via ramzinex_get_networks). currency_id: Optional numeric currency id the address is for. instance: Configured instance to use (default when omitted).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
network_idYes
currency_idNo
instanceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: it is a wallet-write action, can fail with 'withdrawals_disabled' error, and is a best-effort implementation with an assumed endpoint. This provides crucial transparency beyond the basic action.

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 front-loaded with action and warning, then prerequisites and implementation notes. It is a bit lengthy with technical endpoint details, but every section adds value. No wasted sentences.

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?

Given the tool has 3 parameters (1 required) and an output schema, the description covers purpose, prerequisites, error conditions, parameter semantics, and implementation caveats. It is complete enough for an AI agent to use effectively.

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?

Schema description coverage is 0%, but the description adds rich meaning: network_id must be >0 and discoverable via sibling tool, currency_id is optional numeric, instance is optional. This compensates fully for the schema gap.

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 clearly states the action ('Allocate/generate a deposit address') and the resource ('the wallet'), and provides a Persian purpose. It distinguishes this tool from siblings like ramzinex_get_addresses (read-only) and ramzinex_submit_withdraw (withdrawal).

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 description explicitly lists prerequisites (credentials, enable_withdrawals=true, read_only=false) and warns of error if not met. It implies caution but does not explicitly state when not to use or suggest alternatives. However, the context is clear enough.

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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