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klodr

mercury-invoicing-mcp

mercury_get_organization

Retrieve your Mercury organization's legal identity, including legal name, EIN, and registered address, to generate invoices or confirm the organization bound to your API token.

Instructions

Retrieve information about your Mercury organization (legal name, EIN, registered address, etc.).

USE WHEN: fetching the workspace's legal identity for invoice generation, tax documents, or to confirm which organization the API token is bound to.

DO NOT USE: for per-account info (use mercury_get_account). The Mercury API exposes only one organization per token, so there is no list variant.

RETURNS: { id, legalName, ein, address, ... }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description must carry behavioral disclosure. It states the tool is a simple retrieval, mentions no side effects, and outlines the return structure. However, it could more explicitly state that no input is required and that it is a read-only operation.

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 very concise, with each sentence serving a distinct purpose: telling what it does, when to use it, when not to, and what it returns. No wasted words.

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 no output schema, the description includes a return structure example, which adds completeness. It covers the tool's purpose, use cases, and limitations comprehensively for a simple get method.

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

Parameters4/5

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

The input schema has no parameters, so schema coverage is 100%. The description adds no parameter info, but per guidelines, a baseline of 4 is appropriate for zero-parameter tools. No additional meaning is needed.

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 explicitly states the tool retrieves Mercury organization information (legal name, EIN, address). The verb 'retrieve' and resource 'organization' are clear, and the 'USE WHEN' section distinguishes it from sibling tools like mercury_get_account.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit 'USE WHEN' and 'DO NOT USE' guidelines, including an alternative tool (mercury_get_account). It also clarifies that there is only one organization per token, so listing is unnecessary.

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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