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mcp_register

Register for an Ohmyfin API key to use paid tools.

Creates an account and sends a 6-digit verification code to your email. After receiving the code, call mcp_verify to complete registration and get your API key.

By setting accept_terms to true, you confirm acceptance of the Ohmyfin Terms & Conditions (https://ohmyfin.ai/terms) on behalf of your operator, including the API/MCP access terms (Section 3A), sanctions screening terms (Section 3B), and financial data disclaimer (Section 3C).

Args: email: Your email address. organization_name: Your company or project name. accept_terms: Must be true. Confirms acceptance of the Ohmyfin Terms & Conditions at https://ohmyfin.ai/terms.

Examples: mcp_register("agent@example.com", "Acme Corp", true)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
accept_termsYes
organization_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

Describes key behaviors: sends verification code, requires accept_terms confirmation, and outlines legal implications by referencing specific terms sections. No annotations provided, so description carries the burden and does it well, though lacks mentions of rate limits or error handling.

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?

Description is well-structured with a clear purpose, parameter explanations, and an example. No unnecessary sentences every part adds value.

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?

Covers tool purpose, parameters, and next steps. Given that an output schema exists, it's not required to explain return values. Lacks information on error cases or prerequisites, but sufficient for a registration tool.

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?

Even though schema description coverage is 0%, the description explains each parameter in detail: email, organization_name, and accept_terms with the requirement to be true and its legal significance. Includes a usage example demonstrating parameter usage.

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?

Clearly states the tool registers for an Ohmyfin API key to use paid tools, describes the flow (creates account sends verification code), and distinguishes from sibling mcp_verify by indicating the next step.

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?

Provides clear context for when to use (registration step for API key) and what to do next (call mcp_verify). Doesn't explicitly state when not to use, but implicitly suggests it's for new users only.

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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TDQS

A4.3/5.0
Disambiguation4/5

Most tools have distinct purposes, but some overlapping areas (goods_classify vs hs_code_lookup vs eccn_lookup; fx_rate vs fx_rate_history vs fx_volatility) require close reading of descriptions to select correctly. The detailed descriptions help, but the shear number of lookup tools creates mild ambiguity.

Naming Consistency3/5

Names mix verb-first (track_payment, mcp_verify) and noun-first patterns (iban_validate, fx_rate, ssi_lookup), with some phrase-like names (banks_using_correspondent, is_business_day_check). While readable, there is no single consistent convention.

Tool Count3/5

33 tools is heavy, but the server's broad scope (payments, FX, sanctions, export controls, company registries, SWIFT) justifies most of them. A few marginal tools (mcp_register, mcp_verify, company_search_result) add bulk without core value.

Completeness5/5

The tool set covers the payment lifecycle end-to-end: tracking, settlement, FX, compliance, sanctions, and company due diligence. There are no obvious dead ends; the tools chain together via next_steps and search_id flows.

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