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Account overview

get_account
Read-onlyIdempotent

The Seonix account behind this API key: email, every project with its plan, whether the MCP is available for it (paid plans only), AI/publish permissions and this month's article quota. Call this first.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_account"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds real context beyond that: results are scoped to the API key's account, MCP availability is gated on paid plans, and the quota is for the current month — details an agent cannot infer from the schema.

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?

One dense sentence listing the returned fields, closed by a short imperative directive. Nothing is repeated and the most decision-relevant detail, the call-first pointer, is at the end where it is easy to latch onto.

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, the description properly carries the burden of enumerating return fields, and it does so for a zero-param read tool. It could go slightly further on how quota resets or how permissions are shaped, but nothing essential to calling it correctly is missing.

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 tool takes zero parameters and the schema is fully described, so there is nothing for the description to disambiguate. Baseline 4 applies.

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?

Names a specific resource (the account tied to the API key) and enumerates exactly what it returns: email, projects with plans, MCP availability, AI/publish permissions, and monthly article quota. This clearly separates it from list_projects, which only lists projects without account-level plan and permission context.

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?

'Call this first' gives explicit ordering guidance, which is actionable for an agent starting a session. It does not, however, say when not to call it or point at list_projects as the alternative for narrower project lookups.

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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